10887 lines
766 KiB
Plaintext
10887 lines
766 KiB
Plaintext
|
|
{
|
|||
|
|
"cells": [
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "b6c0e9a1",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Прогноз смертности персонажей\n",
|
|||
|
|
"\n",
|
|||
|
|
"Загрузим данные и кратко проверим их размер, состав признаков и наличие пропусков."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 4,
|
|||
|
|
"id": "c8a7b40b",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe thead th {\n",
|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>S.No</th>\n",
|
|||
|
|
" <th>actual</th>\n",
|
|||
|
|
" <th>pred</th>\n",
|
|||
|
|
" <th>alive</th>\n",
|
|||
|
|
" <th>plod</th>\n",
|
|||
|
|
" <th>name</th>\n",
|
|||
|
|
" <th>title</th>\n",
|
|||
|
|
" <th>male</th>\n",
|
|||
|
|
" <th>culture</th>\n",
|
|||
|
|
" <th>dateOfBirth</th>\n",
|
|||
|
|
" <th>...</th>\n",
|
|||
|
|
" <th>isAliveHeir</th>\n",
|
|||
|
|
" <th>isAliveSpouse</th>\n",
|
|||
|
|
" <th>isMarried</th>\n",
|
|||
|
|
" <th>isNoble</th>\n",
|
|||
|
|
" <th>age</th>\n",
|
|||
|
|
" <th>numDeadRelations</th>\n",
|
|||
|
|
" <th>boolDeadRelations</th>\n",
|
|||
|
|
" <th>isPopular</th>\n",
|
|||
|
|
" <th>popularity</th>\n",
|
|||
|
|
" <th>isAlive</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>0</th>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0.054</td>\n",
|
|||
|
|
" <td>0.946</td>\n",
|
|||
|
|
" <td>Viserys II Targaryen</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>0.0</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>11</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>0.605351</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>1</th>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0.387</td>\n",
|
|||
|
|
" <td>0.613</td>\n",
|
|||
|
|
" <td>Walder Frey</td>\n",
|
|||
|
|
" <td>Lord of the Crossing</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>Rivermen</td>\n",
|
|||
|
|
" <td>208.0</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>1.0</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>97.0</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>0.896321</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2</th>\n",
|
|||
|
|
" <td>3</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0.493</td>\n",
|
|||
|
|
" <td>0.507</td>\n",
|
|||
|
|
" <td>Addison Hill</td>\n",
|
|||
|
|
" <td>Ser</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0.267559</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3</th>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0.076</td>\n",
|
|||
|
|
" <td>0.924</td>\n",
|
|||
|
|
" <td>Aemma Arryn</td>\n",
|
|||
|
|
" <td>Queen</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>82.0</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>0.0</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>23.0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0.183946</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>4</th>\n",
|
|||
|
|
" <td>5</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>0.617</td>\n",
|
|||
|
|
" <td>0.383</td>\n",
|
|||
|
|
" <td>Sylva Santagar</td>\n",
|
|||
|
|
" <td>Greenstone</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>Dornish</td>\n",
|
|||
|
|
" <td>276.0</td>\n",
|
|||
|
|
" <td>...</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>1.0</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>29.0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0.043478</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"<p>5 rows × 33 columns</p>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" S.No actual pred alive plod name \\\n",
|
|||
|
|
"0 1 0 0 0.054 0.946 Viserys II Targaryen \n",
|
|||
|
|
"1 2 1 0 0.387 0.613 Walder Frey \n",
|
|||
|
|
"2 3 1 0 0.493 0.507 Addison Hill \n",
|
|||
|
|
"3 4 0 0 0.076 0.924 Aemma Arryn \n",
|
|||
|
|
"4 5 1 1 0.617 0.383 Sylva Santagar \n",
|
|||
|
|
"\n",
|
|||
|
|
" title male culture dateOfBirth ... isAliveHeir \\\n",
|
|||
|
|
"0 NaN 1 NaN NaN ... 0.0 \n",
|
|||
|
|
"1 Lord of the Crossing 1 Rivermen 208.0 ... NaN \n",
|
|||
|
|
"2 Ser 1 NaN NaN ... NaN \n",
|
|||
|
|
"3 Queen 0 NaN 82.0 ... NaN \n",
|
|||
|
|
"4 Greenstone 0 Dornish 276.0 ... NaN \n",
|
|||
|
|
"\n",
|
|||
|
|
" isAliveSpouse isMarried isNoble age numDeadRelations boolDeadRelations \\\n",
|
|||
|
|
"0 NaN 0 0 NaN 11 1 \n",
|
|||
|
|
"1 1.0 1 1 97.0 1 1 \n",
|
|||
|
|
"2 NaN 0 1 NaN 0 0 \n",
|
|||
|
|
"3 0.0 1 1 23.0 0 0 \n",
|
|||
|
|
"4 1.0 1 1 29.0 0 0 \n",
|
|||
|
|
"\n",
|
|||
|
|
" isPopular popularity isAlive \n",
|
|||
|
|
"0 1 0.605351 0 \n",
|
|||
|
|
"1 1 0.896321 1 \n",
|
|||
|
|
"2 0 0.267559 1 \n",
|
|||
|
|
"3 0 0.183946 0 \n",
|
|||
|
|
"4 0 0.043478 1 \n",
|
|||
|
|
"\n",
|
|||
|
|
"[5 rows x 33 columns]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 4,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import pandas as pd\n",
|
|||
|
|
"\n",
|
|||
|
|
"df = pd.read_csv('../data/character-predictions.csv')\n",
|
|||
|
|
"df.head()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 5,
|
|||
|
|
"id": "cac21678",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"(1946, 33)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 5,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"df.shape"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 6,
|
|||
|
|
"id": "673e8cf2",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"Index(['S.No', 'actual', 'pred', 'alive', 'plod', 'name', 'title', 'male',\n",
|
|||
|
|
" 'culture', 'dateOfBirth', 'DateoFdeath', 'mother', 'father', 'heir',\n",
|
|||
|
|
" 'house', 'spouse', 'book1', 'book2', 'book3', 'book4', 'book5',\n",
|
|||
|
|
" 'isAliveMother', 'isAliveFather', 'isAliveHeir', 'isAliveSpouse',\n",
|
|||
|
|
" 'isMarried', 'isNoble', 'age', 'numDeadRelations', 'boolDeadRelations',\n",
|
|||
|
|
" 'isPopular', 'popularity', 'isAlive'],\n",
|
|||
|
|
" dtype='str')"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 6,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"df.columns"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "8f0ca912",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"`S.No` - порядковый номер строки \n",
|
|||
|
|
"\n",
|
|||
|
|
"`actual` - фактический статус персонажа: 1 — жив, 0 — мёртв\n",
|
|||
|
|
"\n",
|
|||
|
|
"`pred` - предсказанный другой моделью статус персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`alive` - предсказанная другой моделью вероятность того, что персонаж жив\n",
|
|||
|
|
"\n",
|
|||
|
|
"`plod` - предсказанная другой моделью вероятность смерти персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`name` - имя персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`title` - титул персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`male` - пол персонажа: 1 — мужчина, 0 — женщина\n",
|
|||
|
|
"\n",
|
|||
|
|
"`culture` - культура или происхождение персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`dateOfBirth` - год рождения персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`DateoFdeath` - год смерти персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`mother` - имя матери персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`father` - имя отца персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`heir` - наследник персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`house` - дом, семья или организация персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`spouse` - супруг или супруга персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`book1` - появляется ли персонаж в книге *A Game of Thrones*\n",
|
|||
|
|
"\n",
|
|||
|
|
"`book2` - появляется ли персонаж в книге *A Clash of Kings*\n",
|
|||
|
|
"\n",
|
|||
|
|
"`book3` - появляется ли персонаж в книге *A Storm of Swords*\n",
|
|||
|
|
"\n",
|
|||
|
|
"`book4` - появляется ли персонаж в книге *A Feast for Crows*\n",
|
|||
|
|
"\n",
|
|||
|
|
"`book5` - появляется ли персонаж в книге *A Dance with Dragons*\n",
|
|||
|
|
"\n",
|
|||
|
|
"`isAliveMother` - жива ли мать персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`isAliveFather` - жив ли отец персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`isAliveHeir` - жив ли наследник персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`isAliveSpouse` - жив ли супруг или супруга персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`isMarried` - состоит ли персонаж в браке\n",
|
|||
|
|
"\n",
|
|||
|
|
"`isNoble` - является ли персонаж представителем знати\n",
|
|||
|
|
"\n",
|
|||
|
|
"`age` - возраст персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`numDeadRelations` - количество умерших родственников персонажа\n",
|
|||
|
|
"\n",
|
|||
|
|
"`boolDeadRelations` - есть ли у персонажа хотя бы один умерший родственник\n",
|
|||
|
|
"\n",
|
|||
|
|
"`isPopular` - считается ли персонаж популярным\n",
|
|||
|
|
"\n",
|
|||
|
|
"`popularity` - числовой показатель популярности персонажа от 0 до 1\n",
|
|||
|
|
"\n",
|
|||
|
|
"`isAlive` - фактический финальный статус персонажа: 1 — жив, 0 — мёртв\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 7,
|
|||
|
|
"id": "4bbd4dea",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"<class 'pandas.DataFrame'>\n",
|
|||
|
|
"RangeIndex: 1946 entries, 0 to 1945\n",
|
|||
|
|
"Data columns (total 33 columns):\n",
|
|||
|
|
" # Column Non-Null Count Dtype \n",
|
|||
|
|
"--- ------ -------------- ----- \n",
|
|||
|
|
" 0 S.No 1946 non-null int64 \n",
|
|||
|
|
" 1 actual 1946 non-null int64 \n",
|
|||
|
|
" 2 pred 1946 non-null int64 \n",
|
|||
|
|
" 3 alive 1946 non-null float64\n",
|
|||
|
|
" 4 plod 1946 non-null float64\n",
|
|||
|
|
" 5 name 1946 non-null str \n",
|
|||
|
|
" 6 title 938 non-null str \n",
|
|||
|
|
" 7 male 1946 non-null int64 \n",
|
|||
|
|
" 8 culture 677 non-null str \n",
|
|||
|
|
" 9 dateOfBirth 433 non-null float64\n",
|
|||
|
|
" 10 DateoFdeath 444 non-null float64\n",
|
|||
|
|
" 11 mother 21 non-null str \n",
|
|||
|
|
" 12 father 26 non-null str \n",
|
|||
|
|
" 13 heir 23 non-null str \n",
|
|||
|
|
" 14 house 1519 non-null str \n",
|
|||
|
|
" 15 spouse 276 non-null str \n",
|
|||
|
|
" 16 book1 1946 non-null int64 \n",
|
|||
|
|
" 17 book2 1946 non-null int64 \n",
|
|||
|
|
" 18 book3 1946 non-null int64 \n",
|
|||
|
|
" 19 book4 1946 non-null int64 \n",
|
|||
|
|
" 20 book5 1946 non-null int64 \n",
|
|||
|
|
" 21 isAliveMother 21 non-null float64\n",
|
|||
|
|
" 22 isAliveFather 26 non-null float64\n",
|
|||
|
|
" 23 isAliveHeir 23 non-null float64\n",
|
|||
|
|
" 24 isAliveSpouse 276 non-null float64\n",
|
|||
|
|
" 25 isMarried 1946 non-null int64 \n",
|
|||
|
|
" 26 isNoble 1946 non-null int64 \n",
|
|||
|
|
" 27 age 433 non-null float64\n",
|
|||
|
|
" 28 numDeadRelations 1946 non-null int64 \n",
|
|||
|
|
" 29 boolDeadRelations 1946 non-null int64 \n",
|
|||
|
|
" 30 isPopular 1946 non-null int64 \n",
|
|||
|
|
" 31 popularity 1946 non-null float64\n",
|
|||
|
|
" 32 isAlive 1946 non-null int64 \n",
|
|||
|
|
"dtypes: float64(10), int64(15), str(8)\n",
|
|||
|
|
"memory usage: 501.8 KB\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"df.info()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 8,
|
|||
|
|
"id": "77b8f02b",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"S.No 0\n",
|
|||
|
|
"actual 0\n",
|
|||
|
|
"pred 0\n",
|
|||
|
|
"alive 0\n",
|
|||
|
|
"plod 0\n",
|
|||
|
|
"name 0\n",
|
|||
|
|
"title 1008\n",
|
|||
|
|
"male 0\n",
|
|||
|
|
"culture 1269\n",
|
|||
|
|
"dateOfBirth 1513\n",
|
|||
|
|
"DateoFdeath 1502\n",
|
|||
|
|
"mother 1925\n",
|
|||
|
|
"father 1920\n",
|
|||
|
|
"heir 1923\n",
|
|||
|
|
"house 427\n",
|
|||
|
|
"spouse 1670\n",
|
|||
|
|
"book1 0\n",
|
|||
|
|
"book2 0\n",
|
|||
|
|
"book3 0\n",
|
|||
|
|
"book4 0\n",
|
|||
|
|
"book5 0\n",
|
|||
|
|
"isAliveMother 1925\n",
|
|||
|
|
"isAliveFather 1920\n",
|
|||
|
|
"isAliveHeir 1923\n",
|
|||
|
|
"isAliveSpouse 1670\n",
|
|||
|
|
"isMarried 0\n",
|
|||
|
|
"isNoble 0\n",
|
|||
|
|
"age 1513\n",
|
|||
|
|
"numDeadRelations 0\n",
|
|||
|
|
"boolDeadRelations 0\n",
|
|||
|
|
"isPopular 0\n",
|
|||
|
|
"popularity 0\n",
|
|||
|
|
"isAlive 0\n",
|
|||
|
|
"dtype: int64"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 8,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"df.isna().sum()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "a23f1c48",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"В выборке 1946 персонажей и 33 исходных признака. Часть столбцов заполнена полностью, но сведения о родственниках, супруге, возрасте и происхождении часто отсутствуют — это нужно учесть при отборе признаков и предобработке."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "ca61b97a",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Целевая переменная\n",
|
|||
|
|
"\n",
|
|||
|
|
"Создадим столбец `death`, показывающий, умер ли персонаж в книгах. Это и будет целевой переменной."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 9,
|
|||
|
|
"id": "4c966bb6",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"death\n",
|
|||
|
|
"0 74.563207\n",
|
|||
|
|
"1 25.436793\n",
|
|||
|
|
"Name: proportion, dtype: float64"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 9,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"df['death'] = 1 - df['actual']\n",
|
|||
|
|
"\n",
|
|||
|
|
"df['death'].value_counts(normalize=True) * 100"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "8d14e3b7",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Около 25% персонажей относятся к классу «умер», поэтому классы несбалансированы. "
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "3d0008e5",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Проверим преобразование целевой переменной на примере Джона Сноу."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 10,
|
|||
|
|
"id": "92fdea76",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe thead th {\n",
|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>name</th>\n",
|
|||
|
|
" <th>actual</th>\n",
|
|||
|
|
" <th>death</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>1749</th>\n",
|
|||
|
|
" <td>Jon Snow</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" name actual death\n",
|
|||
|
|
"1749 Jon Snow 1 0"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 10,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"df.loc[\n",
|
|||
|
|
" df['name'] == 'Jon Snow', ['name', 'actual', 'death']\n",
|
|||
|
|
"]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 11,
|
|||
|
|
"id": "86892ad4",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"df['death'].value_counts().plot(kind='bar')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.title('Распределение таргета')\n",
|
|||
|
|
"plt.xticks([0, 1], ['Жив', 'Мертв'])\n",
|
|||
|
|
"plt.xlabel('Статус')\n",
|
|||
|
|
"plt.ylabel('Количество персонажей')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "da52625f",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Отбор признаков"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "4f55720e",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Не используем признаки, напрямую раскрывающие исход (`actual`, `isAlive`, `DateoFdeath`) или уже содержащие прогноз другой модели (`pred`, `alive`, `plod`). Также исключим индикаторы `book1`–`book5`, чтобы модель не опиралась на появление персонажа в конкретной части истории."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "7566c97f",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Посмотрим на долю пропусков по столбцам. Признаки, в которых отсутствует больше 80% значений, использовать не будем."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 12,
|
|||
|
|
"id": "1c50ac39",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"isAliveMother 0.989209\n",
|
|||
|
|
"mother 0.989209\n",
|
|||
|
|
"isAliveHeir 0.988181\n",
|
|||
|
|
"heir 0.988181\n",
|
|||
|
|
"father 0.986639\n",
|
|||
|
|
"isAliveFather 0.986639\n",
|
|||
|
|
"isAliveSpouse 0.858171\n",
|
|||
|
|
"spouse 0.858171\n",
|
|||
|
|
"dateOfBirth 0.777492\n",
|
|||
|
|
"age 0.777492\n",
|
|||
|
|
"DateoFdeath 0.771840\n",
|
|||
|
|
"culture 0.652107\n",
|
|||
|
|
"title 0.517986\n",
|
|||
|
|
"house 0.219424\n",
|
|||
|
|
"actual 0.000000\n",
|
|||
|
|
"S.No 0.000000\n",
|
|||
|
|
"plod 0.000000\n",
|
|||
|
|
"male 0.000000\n",
|
|||
|
|
"book2 0.000000\n",
|
|||
|
|
"book1 0.000000\n",
|
|||
|
|
"alive 0.000000\n",
|
|||
|
|
"pred 0.000000\n",
|
|||
|
|
"name 0.000000\n",
|
|||
|
|
"book5 0.000000\n",
|
|||
|
|
"book3 0.000000\n",
|
|||
|
|
"book4 0.000000\n",
|
|||
|
|
"isMarried 0.000000\n",
|
|||
|
|
"isNoble 0.000000\n",
|
|||
|
|
"numDeadRelations 0.000000\n",
|
|||
|
|
"boolDeadRelations 0.000000\n",
|
|||
|
|
"isPopular 0.000000\n",
|
|||
|
|
"popularity 0.000000\n",
|
|||
|
|
"isAlive 0.000000\n",
|
|||
|
|
"death 0.000000\n",
|
|||
|
|
"dtype: float64"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 12,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"df.isna().mean().sort_values(ascending=False)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "934a842a",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"В итоге выберем следующие признаки:"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 13,
|
|||
|
|
"id": "7a6474aa",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"features = [\n",
|
|||
|
|
" \"title\",\n",
|
|||
|
|
" \"male\",\n",
|
|||
|
|
" \"culture\",\n",
|
|||
|
|
" \"house\",\n",
|
|||
|
|
" \"isMarried\",\n",
|
|||
|
|
" \"isNoble\",\n",
|
|||
|
|
" \"age\",\n",
|
|||
|
|
" \"numDeadRelations\",\n",
|
|||
|
|
" \"popularity\"\n",
|
|||
|
|
"]\n",
|
|||
|
|
"\n",
|
|||
|
|
"X = df[features].copy()\n",
|
|||
|
|
"y = df[\"death\"].copy()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 14,
|
|||
|
|
"id": "b8774348",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe thead th {\n",
|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>title</th>\n",
|
|||
|
|
" <th>male</th>\n",
|
|||
|
|
" <th>culture</th>\n",
|
|||
|
|
" <th>house</th>\n",
|
|||
|
|
" <th>isMarried</th>\n",
|
|||
|
|
" <th>isNoble</th>\n",
|
|||
|
|
" <th>age</th>\n",
|
|||
|
|
" <th>numDeadRelations</th>\n",
|
|||
|
|
" <th>popularity</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>0</th>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>11</td>\n",
|
|||
|
|
" <td>0.605351</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>1</th>\n",
|
|||
|
|
" <td>Lord of the Crossing</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>Rivermen</td>\n",
|
|||
|
|
" <td>House Frey</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>97.0</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>0.896321</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2</th>\n",
|
|||
|
|
" <td>Ser</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>House Swyft</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0.267559</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3</th>\n",
|
|||
|
|
" <td>Queen</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>NaN</td>\n",
|
|||
|
|
" <td>House Arryn</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>23.0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0.183946</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>4</th>\n",
|
|||
|
|
" <td>Greenstone</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>Dornish</td>\n",
|
|||
|
|
" <td>House Santagar</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>29.0</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" <td>0.043478</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" title male culture house isMarried isNoble \\\n",
|
|||
|
|
"0 NaN 1 NaN NaN 0 0 \n",
|
|||
|
|
"1 Lord of the Crossing 1 Rivermen House Frey 1 1 \n",
|
|||
|
|
"2 Ser 1 NaN House Swyft 0 1 \n",
|
|||
|
|
"3 Queen 0 NaN House Arryn 1 1 \n",
|
|||
|
|
"4 Greenstone 0 Dornish House Santagar 1 1 \n",
|
|||
|
|
"\n",
|
|||
|
|
" age numDeadRelations popularity \n",
|
|||
|
|
"0 NaN 11 0.605351 \n",
|
|||
|
|
"1 97.0 1 0.896321 \n",
|
|||
|
|
"2 NaN 0 0.267559 \n",
|
|||
|
|
"3 23.0 0 0.183946 \n",
|
|||
|
|
"4 29.0 0 0.043478 "
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 14,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"X.head()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 15,
|
|||
|
|
"id": "209ab424",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"title 1008\n",
|
|||
|
|
"male 0\n",
|
|||
|
|
"culture 1269\n",
|
|||
|
|
"house 427\n",
|
|||
|
|
"isMarried 0\n",
|
|||
|
|
"isNoble 0\n",
|
|||
|
|
"age 1513\n",
|
|||
|
|
"numDeadRelations 0\n",
|
|||
|
|
"popularity 0\n",
|
|||
|
|
"dtype: int64"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 15,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"X.isna().sum()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "ec7a052d",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"В `title`, `culture`, `house` и особенно `age` остаются пропуски. Их обработаем внутри пайплайна, чтобы правила заполнения рассчитывались только по обучающей выборке."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 16,
|
|||
|
|
"id": "3ecbf66c",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"name = df['name'].copy()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "019dc278",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# EDA"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "008d5771",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"### Самые смертные дома\n",
|
|||
|
|
"\n",
|
|||
|
|
"Сгруппируем персонажей по домам и оставим группы более чем из 10 персонажей: для совсем маленьких домов выводы были бы слишком нестабильными. Здесь сравнивается абсолютное число смертей, а не вероятность смерти внутри дома."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 17,
|
|||
|
|
"id": "5728f31e",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe thead th {\n",
|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>characters</th>\n",
|
|||
|
|
" <th>deaths</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>house</th>\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Alchemists' Guild</th>\n",
|
|||
|
|
" <td>7</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Antler Men</th>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Band of Nine</th>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" <td>1</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Black Ears</th>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" <td>0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Blacks</th>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" characters deaths\n",
|
|||
|
|
"house \n",
|
|||
|
|
"Alchemists' Guild 7 1\n",
|
|||
|
|
"Antler Men 1 0\n",
|
|||
|
|
"Band of Nine 1 1\n",
|
|||
|
|
"Black Ears 2 0\n",
|
|||
|
|
"Blacks 4 4"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 17,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"house_stats = (df.dropna(subset=['house'])\n",
|
|||
|
|
" .groupby('house')\n",
|
|||
|
|
" .agg(characters=('name', 'count'),\n",
|
|||
|
|
" deaths=('death', 'sum')))\n",
|
|||
|
|
"house_stats.head()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 18,
|
|||
|
|
"id": "3169c705",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe thead th {\n",
|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>characters</th>\n",
|
|||
|
|
" <th>deaths</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>house</th>\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Night's Watch</th>\n",
|
|||
|
|
" <td>105</td>\n",
|
|||
|
|
" <td>46</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>House Frey</th>\n",
|
|||
|
|
" <td>97</td>\n",
|
|||
|
|
" <td>14</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>House Stark</th>\n",
|
|||
|
|
" <td>72</td>\n",
|
|||
|
|
" <td>22</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>House Targaryen</th>\n",
|
|||
|
|
" <td>62</td>\n",
|
|||
|
|
" <td>41</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>House Lannister</th>\n",
|
|||
|
|
" <td>49</td>\n",
|
|||
|
|
" <td>18</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>House Greyjoy</th>\n",
|
|||
|
|
" <td>41</td>\n",
|
|||
|
|
" <td>14</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>House Tyrell</th>\n",
|
|||
|
|
" <td>36</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>House Martell</th>\n",
|
|||
|
|
" <td>29</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>House Osgrey</th>\n",
|
|||
|
|
" <td>21</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Faith of the Seven</th>\n",
|
|||
|
|
" <td>17</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" characters deaths\n",
|
|||
|
|
"house \n",
|
|||
|
|
"Night's Watch 105 46\n",
|
|||
|
|
"House Frey 97 14\n",
|
|||
|
|
"House Stark 72 22\n",
|
|||
|
|
"House Targaryen 62 41\n",
|
|||
|
|
"House Lannister 49 18\n",
|
|||
|
|
"House Greyjoy 41 14\n",
|
|||
|
|
"House Tyrell 36 2\n",
|
|||
|
|
"House Martell 29 4\n",
|
|||
|
|
"House Osgrey 21 4\n",
|
|||
|
|
"Faith of the Seven 17 2"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 18,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"house_stats = house_stats[house_stats['characters'] > 10].copy()\n",
|
|||
|
|
"house_stats.sort_values('characters', ascending=False).head(10)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 19,
|
|||
|
|
"id": "e43a3af6",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 900x600 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"plt.figure(figsize=(9, 6))\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.barh(house_stats.index, house_stats['deaths'])\n",
|
|||
|
|
"plt.title('Количество умерших персонажей по домам')\n",
|
|||
|
|
"plt.xlabel('Количество умерших персонажей')\n",
|
|||
|
|
"plt.ylabel('Дома')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "4a891ef2",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Больше всего смертей в абсолютных числах наблюдается у Ночного Дозора и дома Таргариенов. Однако результат зависит и от размера дома, поэтому его нельзя напрямую трактовать как индивидуальный риск смерти."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "8aea7ec3",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"### Зависимость смертности от сюжетной популярности\n",
|
|||
|
|
"\n",
|
|||
|
|
"Разделим персонажей на пять примерно равных групп по популярности. Поскольку `death` принимает значения 0 и 1, среднее по группе равно доле умерших персонажей."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 20,
|
|||
|
|
"id": "1e9fdeab",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe thead th {\n",
|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>mean</th>\n",
|
|||
|
|
" <th>count</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>popularity_by_group</th>\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>(-0.001, 0.01]</th>\n",
|
|||
|
|
" <td>0.091139</td>\n",
|
|||
|
|
" <td>395</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>(0.01, 0.0234]</th>\n",
|
|||
|
|
" <td>0.194954</td>\n",
|
|||
|
|
" <td>436</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>(0.0234, 0.0502]</th>\n",
|
|||
|
|
" <td>0.271233</td>\n",
|
|||
|
|
" <td>365</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>(0.0502, 0.117]</th>\n",
|
|||
|
|
" <td>0.339779</td>\n",
|
|||
|
|
" <td>362</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>(0.117, 1.0]</th>\n",
|
|||
|
|
" <td>0.391753</td>\n",
|
|||
|
|
" <td>388</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" mean count\n",
|
|||
|
|
"popularity_by_group \n",
|
|||
|
|
"(-0.001, 0.01] 0.091139 395\n",
|
|||
|
|
"(0.01, 0.0234] 0.194954 436\n",
|
|||
|
|
"(0.0234, 0.0502] 0.271233 365\n",
|
|||
|
|
"(0.0502, 0.117] 0.339779 362\n",
|
|||
|
|
"(0.117, 1.0] 0.391753 388"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 20,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"df['popularity_by_group'] = pd.qcut(df['popularity'], q = 5)\n",
|
|||
|
|
"\n",
|
|||
|
|
"popularity_stats = (df.groupby('popularity_by_group')['death'].agg(['mean', 'count']))\n",
|
|||
|
|
"\n",
|
|||
|
|
"popularity_stats"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 21,
|
|||
|
|
"id": "368c450b",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 900x600 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"plt.figure(figsize=(9, 6))\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.plot(range(len(popularity_stats)), popularity_stats['mean'], marker='o')\n",
|
|||
|
|
"plt.xticks(range(len(popularity_stats)), ['Очень низкая', 'Низкая', 'Средняя', 'Высокая', 'Очень высокая'], rotation=20)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.title('Среднее количество умерших персонажей по уровням популярности')\n",
|
|||
|
|
"plt.xlabel('Популярность')\n",
|
|||
|
|
"plt.ylabel('Среднее количество умерших персонажей')\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "6e02b97c",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"С ростом популярности доля умерших последовательно увеличивается: примерно с 9% в первой группе до 39% в последней. Значит, популярность может быть полезным признаком для модели."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "a0362fdf",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"### Зависимость смертности от количества погибших родственников\n",
|
|||
|
|
"\n",
|
|||
|
|
"Для каждого количества погибших родственников посчитаем долю смертей. Размер точки на графике показывает число персонажей в группе."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 22,
|
|||
|
|
"id": "0babd66a",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe thead th {\n",
|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>mean</th>\n",
|
|||
|
|
" <th>count</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>numDeadRelations</th>\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>0</th>\n",
|
|||
|
|
" <td>0.230428</td>\n",
|
|||
|
|
" <td>1801</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>1</th>\n",
|
|||
|
|
" <td>0.387755</td>\n",
|
|||
|
|
" <td>49</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2</th>\n",
|
|||
|
|
" <td>0.416667</td>\n",
|
|||
|
|
" <td>12</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3</th>\n",
|
|||
|
|
" <td>0.750000</td>\n",
|
|||
|
|
" <td>4</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>4</th>\n",
|
|||
|
|
" <td>0.666667</td>\n",
|
|||
|
|
" <td>18</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>5</th>\n",
|
|||
|
|
" <td>0.640000</td>\n",
|
|||
|
|
" <td>25</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>6</th>\n",
|
|||
|
|
" <td>0.625000</td>\n",
|
|||
|
|
" <td>8</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>7</th>\n",
|
|||
|
|
" <td>0.800000</td>\n",
|
|||
|
|
" <td>10</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>8</th>\n",
|
|||
|
|
" <td>0.400000</td>\n",
|
|||
|
|
" <td>5</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>9</th>\n",
|
|||
|
|
" <td>0.500000</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>10</th>\n",
|
|||
|
|
" <td>0.800000</td>\n",
|
|||
|
|
" <td>5</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>11</th>\n",
|
|||
|
|
" <td>1.000000</td>\n",
|
|||
|
|
" <td>3</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>12</th>\n",
|
|||
|
|
" <td>0.500000</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>15</th>\n",
|
|||
|
|
" <td>0.500000</td>\n",
|
|||
|
|
" <td>2</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" mean count\n",
|
|||
|
|
"numDeadRelations \n",
|
|||
|
|
"0 0.230428 1801\n",
|
|||
|
|
"1 0.387755 49\n",
|
|||
|
|
"2 0.416667 12\n",
|
|||
|
|
"3 0.750000 4\n",
|
|||
|
|
"4 0.666667 18\n",
|
|||
|
|
"5 0.640000 25\n",
|
|||
|
|
"6 0.625000 8\n",
|
|||
|
|
"7 0.800000 10\n",
|
|||
|
|
"8 0.400000 5\n",
|
|||
|
|
"9 0.500000 2\n",
|
|||
|
|
"10 0.800000 5\n",
|
|||
|
|
"11 1.000000 3\n",
|
|||
|
|
"12 0.500000 2\n",
|
|||
|
|
"15 0.500000 2"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 22,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"relations_stats = (df.groupby('numDeadRelations')['death'].agg(['mean', 'count']))\n",
|
|||
|
|
"\n",
|
|||
|
|
"relations_stats"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 23,
|
|||
|
|
"id": "993eb131",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 800x500 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"plt.figure(figsize=(8, 5))\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.scatter(relations_stats.index, relations_stats['mean'], s=relations_stats['count']*3)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.title('Доля умерших персонажей по количеству умерших родственников')\n",
|
|||
|
|
"plt.xlabel('Количество умерших родственников')\n",
|
|||
|
|
"plt.ylabel('Доля умерших персонажей')\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "f713c2a6",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Среди персонажей без погибших родственников умерли около 23%. При наличии таких родственников доля обычно выше, но группы с большими значениями очень малы, поэтому отдельные высокие оценки могут быть случайными."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "4ed10d83",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Обучение модели\n",
|
|||
|
|
"\n",
|
|||
|
|
"Разделим данные на обучающую и тестовую части в пропорции 75/25. Стратификация сохраняет исходную долю умерших персонажей в обеих выборках."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 24,
|
|||
|
|
"id": "ab9a688c",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"from sklearn.model_selection import train_test_split\n",
|
|||
|
|
"\n",
|
|||
|
|
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42, stratify=y)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 25,
|
|||
|
|
"id": "428b4d3f",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"(1459, 9)\n",
|
|||
|
|
"(487, 9)\n",
|
|||
|
|
"death\n",
|
|||
|
|
"0 74.571624\n",
|
|||
|
|
"1 25.428376\n",
|
|||
|
|
"Name: proportion, dtype: float64\n",
|
|||
|
|
"death\n",
|
|||
|
|
"0 74.537988\n",
|
|||
|
|
"1 25.462012\n",
|
|||
|
|
"Name: proportion, dtype: float64\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"print(X_train.shape)\n",
|
|||
|
|
"print(X_test.shape)\n",
|
|||
|
|
"print(y_train.value_counts(normalize=True) * 100)\n",
|
|||
|
|
"print(y_test.value_counts(normalize=True) * 100)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 26,
|
|||
|
|
"id": "e100a379",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"Числовые признаки: Index(['male', 'isMarried', 'isNoble', 'age', 'numDeadRelations',\n",
|
|||
|
|
" 'popularity'],\n",
|
|||
|
|
" dtype='str')\n",
|
|||
|
|
"Категориальные признаки: Index(['title', 'culture', 'house'], dtype='str')\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "stderr",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"C:\\Users\\Masha\\AppData\\Local\\Temp\\ipykernel_23368\\2347361538.py:2: Pandas4Warning: For backward compatibility, 'str' dtypes are included by select_dtypes when 'object' dtype is specified. This behavior is deprecated and will be removed in a future version. Explicitly pass 'str' to `include` to select them, or to `exclude` to remove them and silence this warning.\n",
|
|||
|
|
"See https://pandas.pydata.org/docs/user_guide/migration-3-strings.html#string-migration-select-dtypes for details on how to write code that works with pandas 2 and 3.\n",
|
|||
|
|
" categorical_features = X.select_dtypes(include=['object']).columns\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"numerical_features = X.select_dtypes(include=['int64', 'float64']).columns\n",
|
|||
|
|
"categorical_features = X.select_dtypes(include=['object']).columns\n",
|
|||
|
|
"\n",
|
|||
|
|
"print(\"Числовые признаки:\", numerical_features)\n",
|
|||
|
|
"print(\"Категориальные признаки:\", categorical_features)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "19d7b4c2",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Для числовых признаков пропуски заполним медианой и выполним масштабирование. Для категориальных — подставим самое частое значение и применим one-hot encoding."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 27,
|
|||
|
|
"id": "3de0d085",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"\n",
|
|||
|
|
"from sklearn.pipeline import Pipeline\n",
|
|||
|
|
"from sklearn.compose import ColumnTransformer\n",
|
|||
|
|
"\n",
|
|||
|
|
"from sklearn.impute import SimpleImputer\n",
|
|||
|
|
"from sklearn.preprocessing import OneHotEncoder, StandardScaler\n",
|
|||
|
|
"\n",
|
|||
|
|
"numeric_transformer = Pipeline([\n",
|
|||
|
|
" ('imputer', SimpleImputer(strategy='median')),\n",
|
|||
|
|
" ('scaler', StandardScaler())\n",
|
|||
|
|
"])\n",
|
|||
|
|
"\n",
|
|||
|
|
"categorical_transformer = Pipeline([\n",
|
|||
|
|
" ('imputer', SimpleImputer(strategy='most_frequent')),\n",
|
|||
|
|
" ('onehot', OneHotEncoder(handle_unknown='ignore'))\n",
|
|||
|
|
"])\n",
|
|||
|
|
"\n",
|
|||
|
|
"preprocessor = ColumnTransformer([\n",
|
|||
|
|
" ('num', numeric_transformer, numerical_features),\n",
|
|||
|
|
" ('cat', categorical_transformer, categorical_features)\n",
|
|||
|
|
"])"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "c3018fd5",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"В качестве базовой интерпретируемой модели используем логистическую регрессию. Параметр `class_weight='balanced'` повышает вес редкого класса умерших персонажей."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 28,
|
|||
|
|
"id": "d274a430",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"from sklearn.linear_model import LogisticRegression\n",
|
|||
|
|
"\n",
|
|||
|
|
"logreg = Pipeline([\n",
|
|||
|
|
" ('preprocessor', preprocessor),\n",
|
|||
|
|
" ('model', LogisticRegression(max_iter = 1000, class_weight='balanced'))\n",
|
|||
|
|
"])"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 29,
|
|||
|
|
"id": "0bef02e5",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/html": [
|
|||
|
|
"<style>.sk-global {\n",
|
|||
|
|
" /* Definition of color scheme common for light and dark mode */\n",
|
|||
|
|
" --sklearn-color-text: #000;\n",
|
|||
|
|
" --sklearn-color-text-muted: #666;\n",
|
|||
|
|
" --sklearn-color-line: gray;\n",
|
|||
|
|
" /* Definition of color scheme for unfitted estimators */\n",
|
|||
|
|
" --sklearn-color-unfitted-level-0: #fff5e6;\n",
|
|||
|
|
" --sklearn-color-unfitted-level-1: #f6e4d2;\n",
|
|||
|
|
" --sklearn-color-unfitted-level-2: #ffe0b3;\n",
|
|||
|
|
" --sklearn-color-unfitted-level-3: chocolate;\n",
|
|||
|
|
" /* Definition of color scheme for fitted estimators */\n",
|
|||
|
|
" --sklearn-color-fitted-level-0: #f0f8ff;\n",
|
|||
|
|
" --sklearn-color-fitted-level-1: #d4ebff;\n",
|
|||
|
|
" --sklearn-color-fitted-level-2: #b3dbfd;\n",
|
|||
|
|
" --sklearn-color-fitted-level-3: cornflowerblue;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global.light {\n",
|
|||
|
|
" /* Specific color for light theme */\n",
|
|||
|
|
" --sklearn-color-text-on-default-background: black;\n",
|
|||
|
|
" --sklearn-color-background: white;\n",
|
|||
|
|
" --sklearn-color-border-box: black;\n",
|
|||
|
|
" --sklearn-color-icon: #696969;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global.dark {\n",
|
|||
|
|
" --sklearn-color-text-on-default-background: white;\n",
|
|||
|
|
" --sklearn-color-background: #111;\n",
|
|||
|
|
" --sklearn-color-border-box: white;\n",
|
|||
|
|
" --sklearn-color-icon: #878787;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global {\n",
|
|||
|
|
" color: var(--sklearn-color-text);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global pre {\n",
|
|||
|
|
" padding: 0;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global input.sk-hidden--visually {\n",
|
|||
|
|
" border: 0;\n",
|
|||
|
|
" clip-path: inset(100%);\n",
|
|||
|
|
" height: 1px;\n",
|
|||
|
|
" margin: -1px;\n",
|
|||
|
|
" overflow: hidden;\n",
|
|||
|
|
" padding: 0;\n",
|
|||
|
|
" position: absolute;\n",
|
|||
|
|
" width: 1px;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-dashed-wrapped {\n",
|
|||
|
|
" border: 1px dashed var(--sklearn-color-line);\n",
|
|||
|
|
" margin: 0 0.4em 0.5em 0.4em;\n",
|
|||
|
|
" box-sizing: border-box;\n",
|
|||
|
|
" padding-bottom: 0.4em;\n",
|
|||
|
|
" background-color: var(--sklearn-color-background);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-container {\n",
|
|||
|
|
" /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
|
|||
|
|
" but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
|
|||
|
|
" so we also need the `!important` here to be able to override the\n",
|
|||
|
|
" default hidden behavior on the sphinx rendered scikit-learn.org.\n",
|
|||
|
|
" See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
|
|||
|
|
" display: inline-block !important;\n",
|
|||
|
|
" position: relative;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-text-repr-fallback {\n",
|
|||
|
|
" display: none;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"div.sk-parallel-item,\n",
|
|||
|
|
"div.sk-serial,\n",
|
|||
|
|
"div.sk-item {\n",
|
|||
|
|
" /* draw centered vertical line to link estimators */\n",
|
|||
|
|
" background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
|
|||
|
|
" background-size: 2px 100%;\n",
|
|||
|
|
" background-repeat: no-repeat;\n",
|
|||
|
|
" background-position: center center;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Parallel-specific style estimator block */\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-parallel-item::after {\n",
|
|||
|
|
" content: \"\";\n",
|
|||
|
|
" width: 100%;\n",
|
|||
|
|
" border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
|
|||
|
|
" flex-grow: 1;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-parallel {\n",
|
|||
|
|
" display: flex;\n",
|
|||
|
|
" align-items: stretch;\n",
|
|||
|
|
" justify-content: center;\n",
|
|||
|
|
" background-color: var(--sklearn-color-background);\n",
|
|||
|
|
" position: relative;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-parallel-item {\n",
|
|||
|
|
" display: flex;\n",
|
|||
|
|
" flex-direction: column;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-parallel-item:first-child::after {\n",
|
|||
|
|
" align-self: flex-end;\n",
|
|||
|
|
" width: 50%;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-parallel-item:last-child::after {\n",
|
|||
|
|
" align-self: flex-start;\n",
|
|||
|
|
" width: 50%;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-parallel-item:only-child::after {\n",
|
|||
|
|
" width: 0;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Serial-specific style estimator block */\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-serial {\n",
|
|||
|
|
" display: flex;\n",
|
|||
|
|
" flex-direction: column;\n",
|
|||
|
|
" align-items: center;\n",
|
|||
|
|
" background-color: var(--sklearn-color-background);\n",
|
|||
|
|
" padding-right: 1em;\n",
|
|||
|
|
" padding-left: 1em;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
|
|||
|
|
"clickable and can be expanded/collapsed.\n",
|
|||
|
|
"- Pipeline and ColumnTransformer use this feature and define the default style\n",
|
|||
|
|
"- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
|
|||
|
|
"*/\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Pipeline and ColumnTransformer style (default) */\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-toggleable {\n",
|
|||
|
|
" /* Default theme specific background. It is overwritten whether we have a\n",
|
|||
|
|
" specific estimator or a Pipeline/ColumnTransformer */\n",
|
|||
|
|
" background-color: var(--sklearn-color-background);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Toggleable label */\n",
|
|||
|
|
".sk-global label.sk-toggleable__label {\n",
|
|||
|
|
" cursor: pointer;\n",
|
|||
|
|
" display: flex;\n",
|
|||
|
|
" width: 100%;\n",
|
|||
|
|
" margin-bottom: 0;\n",
|
|||
|
|
" padding: 0.5em;\n",
|
|||
|
|
" box-sizing: border-box;\n",
|
|||
|
|
" text-align: center;\n",
|
|||
|
|
" align-items: center;\n",
|
|||
|
|
" justify-content: center;\n",
|
|||
|
|
" gap: 0.5em;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global label.sk-toggleable__label .caption {\n",
|
|||
|
|
" font-size: 0.6rem;\n",
|
|||
|
|
" font-weight: lighter;\n",
|
|||
|
|
" color: var(--sklearn-color-text-muted);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global label.sk-toggleable__label-arrow:before {\n",
|
|||
|
|
" /* Arrow on the left of the label */\n",
|
|||
|
|
" content: \"▸\";\n",
|
|||
|
|
" float: left;\n",
|
|||
|
|
" margin-right: 0.25em;\n",
|
|||
|
|
" color: var(--sklearn-color-icon);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global label.sk-toggleable__label-arrow:hover:before {\n",
|
|||
|
|
" color: var(--sklearn-color-text);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Toggleable content - dropdown */\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-toggleable__content {\n",
|
|||
|
|
" display: none;\n",
|
|||
|
|
" text-align: left;\n",
|
|||
|
|
" /* unfitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-toggleable__content.fitted {\n",
|
|||
|
|
" /* fitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-toggleable__content pre {\n",
|
|||
|
|
" margin: 0.2em;\n",
|
|||
|
|
" border-radius: 0.25em;\n",
|
|||
|
|
" color: var(--sklearn-color-text);\n",
|
|||
|
|
" /* unfitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-toggleable__content.fitted pre {\n",
|
|||
|
|
" /* unfitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
|
|||
|
|
" /* Expand drop-down */\n",
|
|||
|
|
" display: block;\n",
|
|||
|
|
" width: 100%;\n",
|
|||
|
|
" overflow: visible;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
|
|||
|
|
" content: \"▾\";\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Pipeline/ColumnTransformer-specific style */\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|||
|
|
" color: var(--sklearn-color-text);\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Estimator-specific style */\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Colorize estimator box */\n",
|
|||
|
|
".sk-global div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|||
|
|
" /* unfitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
|
|||
|
|
" /* fitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-label label.sk-toggleable__label,\n",
|
|||
|
|
".sk-global div.sk-label label {\n",
|
|||
|
|
" /* The background is the default theme color */\n",
|
|||
|
|
" color: var(--sklearn-color-text-on-default-background);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* On hover, darken the color of the background */\n",
|
|||
|
|
".sk-global div.sk-label:hover label.sk-toggleable__label {\n",
|
|||
|
|
" color: var(--sklearn-color-text);\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Label box, darken color on hover, fitted */\n",
|
|||
|
|
".sk-global div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
|
|||
|
|
" color: var(--sklearn-color-text);\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Estimator label */\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-label label {\n",
|
|||
|
|
" font-family: monospace;\n",
|
|||
|
|
" font-weight: bold;\n",
|
|||
|
|
" line-height: 1.2em;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-label-container {\n",
|
|||
|
|
" text-align: center;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Estimator-specific */\n",
|
|||
|
|
".sk-global div.sk-estimator {\n",
|
|||
|
|
" font-family: monospace;\n",
|
|||
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|||
|
|
" border-radius: 0.25em;\n",
|
|||
|
|
" box-sizing: border-box;\n",
|
|||
|
|
" margin-bottom: 0.5em;\n",
|
|||
|
|
" /* unfitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-estimator.fitted {\n",
|
|||
|
|
" /* fitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* on hover */\n",
|
|||
|
|
".sk-global div.sk-estimator:hover {\n",
|
|||
|
|
" /* unfitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global div.sk-estimator.fitted:hover {\n",
|
|||
|
|
" /* fitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Common style for \"i\" and \"?\" */\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-estimator-doc-link,\n",
|
|||
|
|
"a:link.sk-estimator-doc-link,\n",
|
|||
|
|
"a:visited.sk-estimator-doc-link {\n",
|
|||
|
|
" float: right;\n",
|
|||
|
|
" font-size: smaller;\n",
|
|||
|
|
" line-height: 1em;\n",
|
|||
|
|
" font-family: monospace;\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|||
|
|
" border-radius: 1em;\n",
|
|||
|
|
" height: 1em;\n",
|
|||
|
|
" width: 1em;\n",
|
|||
|
|
" text-decoration: none !important;\n",
|
|||
|
|
" margin-left: 0.5em;\n",
|
|||
|
|
" text-align: center;\n",
|
|||
|
|
" /* unfitted */\n",
|
|||
|
|
" border: var(--sklearn-color-unfitted-level-3) 1pt solid;\n",
|
|||
|
|
" color: var(--sklearn-color-unfitted-level-3);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-estimator-doc-link.fitted,\n",
|
|||
|
|
"a:link.sk-estimator-doc-link.fitted,\n",
|
|||
|
|
"a:visited.sk-estimator-doc-link.fitted {\n",
|
|||
|
|
" /* fitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|||
|
|
" border: var(--sklearn-color-fitted-level-3) 1pt solid;\n",
|
|||
|
|
" color: var(--sklearn-color-fitted-level-3);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* On hover */\n",
|
|||
|
|
"div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
|
|||
|
|
".sk-estimator-doc-link:hover,\n",
|
|||
|
|
"div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
|
|||
|
|
".sk-estimator-doc-link:hover {\n",
|
|||
|
|
" /* unfitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|||
|
|
" border: var(--sklearn-color-fitted-level-0) 1pt solid;\n",
|
|||
|
|
" color: var(--sklearn-color-unfitted-level-0);\n",
|
|||
|
|
" text-decoration: none;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|||
|
|
".sk-estimator-doc-link.fitted:hover,\n",
|
|||
|
|
"div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
|
|||
|
|
".sk-estimator-doc-link.fitted:hover {\n",
|
|||
|
|
" /* fitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|||
|
|
" border: var(--sklearn-color-fitted-level-0) 1pt solid;\n",
|
|||
|
|
" color: var(--sklearn-color-fitted-level-0);\n",
|
|||
|
|
" text-decoration: none;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Span, style for the box shown on hovering the info icon */\n",
|
|||
|
|
".sk-estimator-doc-link span {\n",
|
|||
|
|
" display: none;\n",
|
|||
|
|
" z-index: 9999;\n",
|
|||
|
|
" position: relative;\n",
|
|||
|
|
" font-weight: normal;\n",
|
|||
|
|
" right: .2ex;\n",
|
|||
|
|
" padding: .5ex;\n",
|
|||
|
|
" margin: .5ex;\n",
|
|||
|
|
" width: min-content;\n",
|
|||
|
|
" min-width: 20ex;\n",
|
|||
|
|
" max-width: 50ex;\n",
|
|||
|
|
" color: var(--sklearn-color-text);\n",
|
|||
|
|
" box-shadow: 2pt 2pt 4pt #999;\n",
|
|||
|
|
" /* unfitted */\n",
|
|||
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|||
|
|
" border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-estimator-doc-link.fitted span {\n",
|
|||
|
|
" /* fitted */\n",
|
|||
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|||
|
|
" border: var(--sklearn-color-fitted-level-3);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-estimator-doc-link:hover span {\n",
|
|||
|
|
" display: block;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* \"?\"-specific style due to the `<a>` HTML tag */\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global a.estimator_doc_link {\n",
|
|||
|
|
" float: right;\n",
|
|||
|
|
" font-size: 1rem;\n",
|
|||
|
|
" line-height: 1em;\n",
|
|||
|
|
" font-family: monospace;\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|||
|
|
" border-radius: 1rem;\n",
|
|||
|
|
" height: 1rem;\n",
|
|||
|
|
" width: 1rem;\n",
|
|||
|
|
" text-decoration: none;\n",
|
|||
|
|
" /* unfitted */\n",
|
|||
|
|
" color: var(--sklearn-color-unfitted-level-1);\n",
|
|||
|
|
" border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global a.estimator_doc_link.fitted {\n",
|
|||
|
|
" /* fitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|||
|
|
" border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
|
|||
|
|
" color: var(--sklearn-color-fitted-level-1);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* On hover */\n",
|
|||
|
|
".sk-global a.estimator_doc_link:hover {\n",
|
|||
|
|
" /* unfitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-3);\n",
|
|||
|
|
" color: var(--sklearn-color-background);\n",
|
|||
|
|
" text-decoration: none;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-global a.estimator_doc_link.fitted:hover {\n",
|
|||
|
|
" /* fitted */\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-3);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".sk-top-container.sk-global {\n",
|
|||
|
|
" /* pydata-sphinx-theme hides overflow, so scrolling is disabled.\n",
|
|||
|
|
" We need to set it to !important and add tabindex=\"0\" in the HTML\n",
|
|||
|
|
" to allow keyboard-only users to navigate the display. */\n",
|
|||
|
|
" overflow-x: scroll !important;\n",
|
|||
|
|
" max-width: 100%;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".estimator-table {\n",
|
|||
|
|
" font-family: monospace;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".estimator-table summary {\n",
|
|||
|
|
" padding: .5rem;\n",
|
|||
|
|
" cursor: pointer;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".estimator-table summary::marker {\n",
|
|||
|
|
" font-size: 0.7rem;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".estimator-table details[open] {\n",
|
|||
|
|
" padding-left: 0.1rem;\n",
|
|||
|
|
" padding-right: 0.1rem;\n",
|
|||
|
|
" padding-bottom: 0.3rem;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".estimator-table .parameters-table {\n",
|
|||
|
|
" margin-left: auto !important;\n",
|
|||
|
|
" margin-right: auto !important;\n",
|
|||
|
|
" margin-top: 0;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".estimator-table .parameters-table tr:nth-child(odd) {\n",
|
|||
|
|
" background-color: #fff;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".estimator-table .parameters-table tr:nth-child(even) {\n",
|
|||
|
|
" background-color: #f6f6f6;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".estimator-table .parameters-table tr:hover td {\n",
|
|||
|
|
" background-color: #e0e0e0;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".estimator-table table :is(td, th) {\n",
|
|||
|
|
" border: 1px solid rgba(106, 105, 104, 0.232);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/*\n",
|
|||
|
|
" `table td`is set in notebook with right text-align.\n",
|
|||
|
|
" We need to overwrite it.\n",
|
|||
|
|
"*/\n",
|
|||
|
|
".estimator-table table td.param {\n",
|
|||
|
|
" text-align: left;\n",
|
|||
|
|
" position: relative;\n",
|
|||
|
|
" padding: 0;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".user-set td {\n",
|
|||
|
|
" color:rgb(255, 94, 0);\n",
|
|||
|
|
" text-align: left !important;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".user-set td.value {\n",
|
|||
|
|
" color:rgb(255, 94, 0);\n",
|
|||
|
|
" background-color: transparent;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".default td, .estimator-table th {\n",
|
|||
|
|
" color: black;\n",
|
|||
|
|
" text-align: left !important;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".user-set td i,\n",
|
|||
|
|
".default td i {\n",
|
|||
|
|
" color: black;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"td.fitted-att-type {\n",
|
|||
|
|
" white-space: preserve nowrap;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/*\n",
|
|||
|
|
" Styles for parameter documentation links\n",
|
|||
|
|
" We need styling for visited so jupyter doesn't overwrite it\n",
|
|||
|
|
"*/\n",
|
|||
|
|
"a.param-doc-link,\n",
|
|||
|
|
"a.param-doc-link:link,\n",
|
|||
|
|
"a.param-doc-link:visited {\n",
|
|||
|
|
" text-decoration: underline dashed;\n",
|
|||
|
|
" text-underline-offset: .3em;\n",
|
|||
|
|
" color: inherit;\n",
|
|||
|
|
" display: block;\n",
|
|||
|
|
" padding: .5em;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"@supports(anchor-name: --doc-link) {\n",
|
|||
|
|
" a.param-doc-link,\n",
|
|||
|
|
" a.param-doc-link:link,\n",
|
|||
|
|
" a.param-doc-link:visited {\n",
|
|||
|
|
" anchor-name: --doc-link;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* \"hack\" to make the entire area of the cell containing the link clickable */\n",
|
|||
|
|
"a.param-doc-link::before {\n",
|
|||
|
|
" position: absolute;\n",
|
|||
|
|
" content: \"\";\n",
|
|||
|
|
" inset: 0;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".param-doc-description {\n",
|
|||
|
|
" display: none;\n",
|
|||
|
|
" position: absolute;\n",
|
|||
|
|
" z-index: 9999;\n",
|
|||
|
|
" left: 0;\n",
|
|||
|
|
" padding: .5ex;\n",
|
|||
|
|
" margin-left: 1.5em;\n",
|
|||
|
|
" color: var(--sklearn-color-text);\n",
|
|||
|
|
" box-shadow: .3em .3em .4em #999;\n",
|
|||
|
|
" width: max-content;\n",
|
|||
|
|
" text-align: left;\n",
|
|||
|
|
" max-height: 10em;\n",
|
|||
|
|
" overflow-y: auto;\n",
|
|||
|
|
"\n",
|
|||
|
|
" /* unfitted */\n",
|
|||
|
|
" background: var(--sklearn-color-unfitted-level-0);\n",
|
|||
|
|
" border: thin solid var(--sklearn-color-unfitted-level-3);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"@supports(position-area: center right) {\n",
|
|||
|
|
" .param-doc-description {\n",
|
|||
|
|
" position-area: center right;\n",
|
|||
|
|
" position: fixed;\n",
|
|||
|
|
" margin-left: 0;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"/* Fitted state for parameter tooltips */\n",
|
|||
|
|
".fitted .param-doc-description {\n",
|
|||
|
|
" /* fitted */\n",
|
|||
|
|
" background: var(--sklearn-color-fitted-level-0);\n",
|
|||
|
|
" border: thin solid var(--sklearn-color-fitted-level-3);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".param-doc-link:hover .param-doc-description {\n",
|
|||
|
|
" display: block;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".copy-paste-icon {\n",
|
|||
|
|
" background-image: url(data:image/svg+xml;base64,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);\n",
|
|||
|
|
" background-repeat: no-repeat;\n",
|
|||
|
|
" background-size: 14px 14px;\n",
|
|||
|
|
" background-position: 0;\n",
|
|||
|
|
" display: inline-block;\n",
|
|||
|
|
" width: 14px;\n",
|
|||
|
|
" height: 14px;\n",
|
|||
|
|
" cursor: pointer;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features {\n",
|
|||
|
|
" font-family: monospace;\n",
|
|||
|
|
" cursor: pointer;\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|||
|
|
" border: 1px dotted var(--sklearn-color-border-box);\n",
|
|||
|
|
" border-radius: .20em;\n",
|
|||
|
|
" margin-bottom: 0.5em;\n",
|
|||
|
|
" font-size: inherit; /* Needed for jupyter */\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features.fitted {\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features summary {\n",
|
|||
|
|
" cursor: pointer;\n",
|
|||
|
|
" display: flex;\n",
|
|||
|
|
" margin-bottom: 0;\n",
|
|||
|
|
" text-align: center;\n",
|
|||
|
|
" align-items: center;\n",
|
|||
|
|
" justify-content: center;\n",
|
|||
|
|
" gap: 0.5em;\n",
|
|||
|
|
" padding: .25em;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features details[open] > summary {\n",
|
|||
|
|
" color: var(--sklearn-color-text);\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|||
|
|
" border-radius: .20em 0 0 0;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features.fitted details[open] > summary {\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|||
|
|
" border-radius: .20em 0 0 0;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features details > summary .arrow::before {\n",
|
|||
|
|
" content: \"▸\";\n",
|
|||
|
|
" color: grey;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features details[open] > summary .arrow::before {\n",
|
|||
|
|
" content: \"▾\";\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features details:hover > summary {\n",
|
|||
|
|
" margin: 0;\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-2);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features.fitted details:hover > summary {\n",
|
|||
|
|
" margin: 0;\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-2);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features .features-container {\n",
|
|||
|
|
" max-width: 15em;\n",
|
|||
|
|
" max-height: 10em;\n",
|
|||
|
|
" overflow: auto;\n",
|
|||
|
|
" scrollbar-width: thin;\n",
|
|||
|
|
" padding: .25em 0.1rem;\n",
|
|||
|
|
" background-color: var(--sklearn-color-unfitted-level-0);\n",
|
|||
|
|
" border-radius: 0 0 .5em .5em;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features.fitted .features-container {\n",
|
|||
|
|
" background-color: var(--sklearn-color-fitted-level-0);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features .image-container {\n",
|
|||
|
|
" block-size: 1em;\n",
|
|||
|
|
" inline-size: 1em;\n",
|
|||
|
|
" padding: 0;\n",
|
|||
|
|
" margin: 0%;\n",
|
|||
|
|
" display: flex;\n",
|
|||
|
|
" justify-content: center;\n",
|
|||
|
|
" align-items: center;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features .copy-paste-icon {\n",
|
|||
|
|
" background-size: 1em 1em;\n",
|
|||
|
|
" width: 1em;\n",
|
|||
|
|
" height: 1em;\n",
|
|||
|
|
" filter: grayscale(100%) opacity(60%);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features .features-container table {\n",
|
|||
|
|
" width: 100%;\n",
|
|||
|
|
" margin: 0.01em;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features .features-container table tr:nth-child(odd) {\n",
|
|||
|
|
" background-color: #fff;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features .features-container table tr:nth-child(even) {\n",
|
|||
|
|
" background-color: #f6f6f6;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features .features-container table tr:hover {\n",
|
|||
|
|
" background-color: #e0e0e0;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features .features-container table {\n",
|
|||
|
|
" table-layout: inherit;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".features .features-container table td {\n",
|
|||
|
|
" text-align: left;\n",
|
|||
|
|
" padding: 0 0.5em;\n",
|
|||
|
|
" border: 1px solid rgba(106, 105, 104, 0.232);\n",
|
|||
|
|
" white-space: nowrap;\n",
|
|||
|
|
" color: var(--sklearn-color-text);\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
".total_features {\n",
|
|||
|
|
" display: flex;\n",
|
|||
|
|
" justify-content: center;\n",
|
|||
|
|
" margin-top: 0.5em;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"</style><body><div id=\"sk-container-id-1\" tabindex=\"0\" class=\"sk-top-container sk-global\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[('preprocessor',\n",
|
|||
|
|
" ColumnTransformer(transformers=[('num',\n",
|
|||
|
|
" Pipeline(steps=[('imputer',\n",
|
|||
|
|
" SimpleImputer(strategy='median')),\n",
|
|||
|
|
" ('scaler',\n",
|
|||
|
|
" StandardScaler())]),\n",
|
|||
|
|
" Index(['male', 'isMarried', 'isNoble', 'age', 'numDeadRelations',\n",
|
|||
|
|
" 'popularity'],\n",
|
|||
|
|
" dtype='str')),\n",
|
|||
|
|
" ('cat',\n",
|
|||
|
|
" Pipeline(steps=[('imputer',\n",
|
|||
|
|
" SimpleImputer(strategy='most_frequent')),\n",
|
|||
|
|
" ('onehot',\n",
|
|||
|
|
" OneHotEncoder(handle_unknown='ignore'))]),\n",
|
|||
|
|
" Index(['title', 'culture', 'house'], dtype='str'))])),\n",
|
|||
|
|
" ('model',\n",
|
|||
|
|
" LogisticRegression(class_weight='balanced', max_iter=1000))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually sk-global\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>Pipeline</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.pipeline.Pipeline.html\">?<span>Documentation for Pipeline</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"\">\n",
|
|||
|
|
" <div class=\"estimator-table\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>Parameters</summary>\n",
|
|||
|
|
" <table class=\"parameters-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr class=\"user-set\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('steps',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-steps;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.pipeline.Pipeline.html#:~:text=steps,-list%20of%20tuples\">\n",
|
|||
|
|
" steps\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-steps;\">\n",
|
|||
|
|
" steps: list of tuples<br><br>List of (name of step, estimator) tuples that are to be chained in<br>sequential order. To be compatible with the scikit-learn API, all steps<br>must define `fit`. All non-last steps must also define `transform`. See<br>:ref:`Combining Estimators <combining_estimators>` for more details.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">[('preprocessor', ...), ('model', ...)]</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('transform_input',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-transform_input;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.pipeline.Pipeline.html#:~:text=transform_input,-list%20of%20str%2C%20default%3DNone\">\n",
|
|||
|
|
" transform_input\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-transform_input;\">\n",
|
|||
|
|
" transform_input: list of str, default=None<br><br>The names of the :term:`metadata` parameters that should be transformed by the<br>pipeline before passing it to the step consuming it.<br><br>This enables transforming some input arguments to ``fit`` (other than ``X``)<br>to be transformed by the steps of the pipeline up to the step which requires<br>them. Requirement is defined via :ref:`metadata routing <metadata_routing>`.<br>For instance, this can be used to pass a validation set through the pipeline.<br><br>You can only set this if metadata routing is enabled, which you<br>can enable using ``sklearn.set_config(enable_metadata_routing=True)``.<br><br>.. versionadded:: 1.6</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('memory',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-memory;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.pipeline.Pipeline.html#:~:text=memory,-str%20or%20object%20with%20the%20joblib.Memory%20interface%2C%20default%3DNone\">\n",
|
|||
|
|
" memory\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-memory;\">\n",
|
|||
|
|
" memory: str or object with the joblib.Memory interface, default=None<br><br>Used to cache the fitted transformers of the pipeline. The last step<br>will never be cached, even if it is a transformer. By default, no<br>caching is performed. If a string is given, it is the path to the<br>caching directory. Enabling caching triggers a clone of the transformers<br>before fitting. Therefore, the transformer instance given to the<br>pipeline cannot be inspected directly. Use the attribute ``named_steps``<br>or ``steps`` to inspect estimators within the pipeline. Caching the<br>transformers is advantageous when fitting is time consuming. See<br>:ref:`sphx_glr_auto_examples_neighbors_plot_caching_nearest_neighbors.py`<br>for an example on how to enable caching.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-verbose;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.pipeline.Pipeline.html#:~:text=verbose,-bool%2C%20default%3DFalse\">\n",
|
|||
|
|
" verbose\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-verbose;\">\n",
|
|||
|
|
" verbose: bool, default=False<br><br>If True, the time elapsed while fitting each step will be printed as it<br>is completed.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">False</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <div class=\"estimator-table\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>Fitted attributes</summary>\n",
|
|||
|
|
" <table class=\"parameters-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Name</th>\n",
|
|||
|
|
" <th>Type</th>\n",
|
|||
|
|
" <th>Value</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-classes_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.pipeline.Pipeline.html#:~:text=classes_,-ndarray%20of%20shape%20%28n_classes%2C%29\">\n",
|
|||
|
|
" classes_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-classes_;\">\n",
|
|||
|
|
" classes_: ndarray of shape (n_classes,)<br><br>The classes labels. Only exist if the last step of the pipeline is a<br>classifier.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">ndarray[int64](2,)</td>\n",
|
|||
|
|
" <td>[0,1]</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-feature_names_in_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.pipeline.Pipeline.html#:~:text=feature_names_in_,-ndarray%20of%20shape%20%28n_features_in_%2C%29\">\n",
|
|||
|
|
" feature_names_in_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-feature_names_in_;\">\n",
|
|||
|
|
" feature_names_in_: ndarray of shape (`n_features_in_`,)<br><br>Names of features seen during :term:`fit`. Only defined if the<br>underlying estimator exposes such an attribute when fit.<br><br>.. versionadded:: 1.0</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">ndarray[object](9,)</td>\n",
|
|||
|
|
" <td>['title','male','culture',...,'age','numDeadRelations','popularity']</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-n_features_in_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.pipeline.Pipeline.html#:~:text=n_features_in_,-int\">\n",
|
|||
|
|
" n_features_in_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-n_features_in_;\">\n",
|
|||
|
|
" n_features_in_: int<br><br>Number of features seen during :term:`fit`. Only defined if the<br>underlying first estimator in `steps` exposes such an attribute<br>when fit.<br><br>.. versionadded:: 0.24</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">int</td>\n",
|
|||
|
|
" <td>9</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </div></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually sk-global\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>preprocessor: ColumnTransformer</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.compose.ColumnTransformer.html\">?<span>Documentation for preprocessor: ColumnTransformer</span></a></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"preprocessor__\">\n",
|
|||
|
|
" <div class=\"estimator-table\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>Parameters</summary>\n",
|
|||
|
|
" <table class=\"parameters-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr class=\"user-set\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('transformers',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-transformers;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.compose.ColumnTransformer.html#:~:text=transformers,-list%20of%20tuples\">\n",
|
|||
|
|
" transformers\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-transformers;\">\n",
|
|||
|
|
" transformers: list of tuples<br><br>List of (name, transformer, columns) tuples specifying the<br>transformer objects to be applied to subsets of the data.<br><br>name : str<br> Like in Pipeline and FeatureUnion, this allows the transformer and<br> its parameters to be set using ``set_params`` and searched in grid<br> search.<br>transformer : {'drop', 'passthrough'} or estimator<br> Estimator must support :term:`fit` and :term:`transform`.<br> Special-cased strings 'drop' and 'passthrough' are accepted as<br> well, to indicate to drop the columns or to pass them through<br> untransformed, respectively.<br>columns : str, array-like of str, int, array-like of int, array-like of bool, slice or callable<br> Indexes the data on its second axis. Integers are interpreted as<br> positional columns, while strings can reference DataFrame columns<br> by name. A scalar string or int should be used where<br> ``transformer`` expects X to be a 1d array-like (vector),<br> otherwise a 2d array will be passed to the transformer.<br> A callable is passed the input data `X` and can return any of the<br> above. To select multiple columns by name or dtype, you can use<br> :obj:`make_column_selector`.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">[('num', ...), ('cat', ...)]</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('remainder',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-remainder;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.compose.ColumnTransformer.html#:~:text=remainder,-%7B%27drop%27%2C%20%27passthrough%27%7D%20or%20estimator%2C%20default%3D%27drop%27\">\n",
|
|||
|
|
" remainder\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-remainder;\">\n",
|
|||
|
|
" remainder: {'drop', 'passthrough'} or estimator, default='drop'<br><br>By default, only the specified columns in `transformers` are<br>transformed and combined in the output, and the non-specified<br>columns are dropped. (default of ``'drop'``).<br>By specifying ``remainder='passthrough'``, all remaining columns that<br>were not specified in `transformers`, but present in the data passed<br>to `fit` will be automatically passed through. This subset of columns<br>is concatenated with the output of the transformers. For dataframes,<br>extra columns not seen during `fit` will be excluded from the output<br>of `transform`.<br>By setting ``remainder`` to be an estimator, the remaining<br>non-specified columns will use the ``remainder`` estimator. The<br>estimator must support :term:`fit` and :term:`transform`.<br>Note that using this feature requires that the DataFrame columns<br>input at :term:`fit` and :term:`transform` have identical order.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">'drop'</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('sparse_threshold',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-sparse_threshold;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.compose.ColumnTransformer.html#:~:text=sparse_threshold,-float%2C%20default%3D0.3\">\n",
|
|||
|
|
" sparse_threshold\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-sparse_threshold;\">\n",
|
|||
|
|
" sparse_threshold: float, default=0.3<br><br>If the output of the different transformers contains sparse matrices,<br>these will be stacked as a sparse matrix if the overall density is<br>lower than this value. Use ``sparse_threshold=0`` to always return<br>dense. When the transformed output consists of all dense data, the<br>stacked result will be dense, and this keyword will be ignored.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">0.3</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-n_jobs;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.compose.ColumnTransformer.html#:~:text=n_jobs,-int%2C%20default%3DNone\">\n",
|
|||
|
|
" n_jobs\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-n_jobs;\">\n",
|
|||
|
|
" n_jobs: int, default=None<br><br>Number of jobs to run in parallel.<br>``None`` means 1 unless in a :obj:`joblib.parallel_backend` context.<br>``-1`` means using all processors. See :term:`Glossary <n_jobs>`<br>for more details.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('transformer_weights',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-transformer_weights;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.compose.ColumnTransformer.html#:~:text=transformer_weights,-dict%2C%20default%3DNone\">\n",
|
|||
|
|
" transformer_weights\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-transformer_weights;\">\n",
|
|||
|
|
" transformer_weights: dict, default=None<br><br>Multiplicative weights for features per transformer. The output of the<br>transformer is multiplied by these weights. Keys are transformer names,<br>values the weights.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-verbose;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.compose.ColumnTransformer.html#:~:text=verbose,-bool%2C%20default%3DFalse\">\n",
|
|||
|
|
" verbose\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-verbose;\">\n",
|
|||
|
|
" verbose: bool, default=False<br><br>If True, the time elapsed while fitting each transformer will be<br>printed as it is completed.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">False</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('verbose_feature_names_out',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-verbose_feature_names_out;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.compose.ColumnTransformer.html#:~:text=verbose_feature_names_out,-bool%2C%20str%20or%20Callable%5B%5Bstr%2C%20str%5D%2C%20str%5D%2C%20default%3DTrue\">\n",
|
|||
|
|
" verbose_feature_names_out\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-verbose_feature_names_out;\">\n",
|
|||
|
|
" verbose_feature_names_out: bool, str or Callable[[str, str], str], default=True<br><br>- If True, :meth:`ColumnTransformer.get_feature_names_out` will prefix<br> all feature names with the name of the transformer that generated that<br> feature. It is equivalent to setting<br> `verbose_feature_names_out="{transformer_name}__{feature_name}"`.<br>- If False, :meth:`ColumnTransformer.get_feature_names_out` will not<br> prefix any feature names and will error if feature names are not<br> unique.<br>- If ``Callable[[str, str], str]``,<br> :meth:`ColumnTransformer.get_feature_names_out` will rename all the features<br> using the name of the transformer. The first argument of the callable is the<br> transformer name and the second argument is the feature name. The returned<br> string will be the new feature name.<br>- If ``str``, it must be a string ready for formatting. The given string will<br> be formatted using two field names: ``transformer_name`` and ``feature_name``.<br> e.g. ``"{feature_name}__{transformer_name}"``. See :meth:`str.format` method<br> from the standard library for more info.<br><br>.. versionadded:: 1.0<br><br>.. versionchanged:: 1.6<br> `verbose_feature_names_out` can be a callable or a string to be formatted.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">True</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <div class=\"estimator-table\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>Fitted attributes</summary>\n",
|
|||
|
|
" <table class=\"parameters-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Name</th>\n",
|
|||
|
|
" <th>Type</th>\n",
|
|||
|
|
" <th>Value</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-feature_names_in_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.compose.ColumnTransformer.html#:~:text=feature_names_in_,-ndarray%20of%20shape%20%28n_features_in_%2C%29\">\n",
|
|||
|
|
" feature_names_in_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-feature_names_in_;\">\n",
|
|||
|
|
" feature_names_in_: ndarray of shape (`n_features_in_`,)<br><br>Names of features seen during :term:`fit`. Defined only when `X`<br>has feature names that are all strings.<br><br>.. versionadded:: 1.0</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">ndarray[object](9,)</td>\n",
|
|||
|
|
" <td>['title','male','culture',...,'age','numDeadRelations','popularity']</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-n_features_in_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.compose.ColumnTransformer.html#:~:text=n_features_in_,-int\">\n",
|
|||
|
|
" n_features_in_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-n_features_in_;\">\n",
|
|||
|
|
" n_features_in_: int<br><br>Number of features seen during :term:`fit`. Only defined if the<br>underlying transformers expose such an attribute when fit.<br><br>.. versionadded:: 0.24</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">int</td>\n",
|
|||
|
|
" <td>9</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-named_transformers_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.compose.ColumnTransformer.html#:~:text=named_transformers_,-%3Aclass%3A~sklearn.utils.Bunch\">\n",
|
|||
|
|
" named_transformers_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-named_transformers_;\">\n",
|
|||
|
|
" named_transformers_: :class:`~sklearn.utils.Bunch`<br><br>Read-only attribute to access any transformer by given name.<br>Keys are transformer names and values are the fitted transformer<br>objects.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">Bunch</td>\n",
|
|||
|
|
" <td>{'num': Pipel...='ignore'))])}</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-output_indices_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.compose.ColumnTransformer.html#:~:text=output_indices_,-dict\">\n",
|
|||
|
|
" output_indices_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-output_indices_;\">\n",
|
|||
|
|
" output_indices_: dict<br><br>A dictionary from each transformer name to a slice, where the slice<br>corresponds to indices in the transformed output. This is useful to<br>inspect which transformer is responsible for which transformed<br>feature(s).<br><br>.. versionadded:: 1.0</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">dict</td>\n",
|
|||
|
|
" <td>{'cat': slice(6, 575, None), 'num': slice(0, 6, None), 're...er': slice(0, 0, None)}</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-sparse_output_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.compose.ColumnTransformer.html#:~:text=sparse_output_,-bool\">\n",
|
|||
|
|
" sparse_output_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-sparse_output_;\">\n",
|
|||
|
|
" sparse_output_: bool<br><br>Boolean flag indicating whether the output of ``transform`` is a<br>sparse matrix or a dense numpy array, which depends on the output<br>of the individual transformers and the `sparse_threshold` keyword.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">bool</td>\n",
|
|||
|
|
" <td>True</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-transformers_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.compose.ColumnTransformer.html#:~:text=transformers_,-list\">\n",
|
|||
|
|
" transformers_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-transformers_;\">\n",
|
|||
|
|
" transformers_: list<br><br>The collection of fitted transformers as tuples of (name,<br>fitted_transformer, column). `fitted_transformer` can be an estimator,<br>or `'drop'`; `'passthrough'` is replaced with an equivalent<br>:class:`~sklearn.preprocessing.FunctionTransformer`. In case there were<br>no columns selected, this will be the unfitted transformer. If there<br>are remaining columns, the final element is a tuple of the form:<br>('remainder', transformer, remaining_columns) corresponding to the<br>``remainder`` parameter. If there are remaining columns, then<br>``len(transformers_)==len(transformers)+1``, otherwise<br>``len(transformers_)==len(transformers)``.<br><br>.. versionadded:: 1.7<br> The format of the remaining columns now attempts to match that of the other<br> transformers: if all columns were provided as column names (`str`), the<br> remaining columns are stored as column names; if all columns were provided<br> as mask arrays (`bool`), so are the remaining columns; in all other cases<br> the remaining columns are stored as indices (`int`).</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">list</td>\n",
|
|||
|
|
" <td>[('num', Pipeline(step...ardScaler())]), Index(['male'... dtype='str')), ('cat', Pipeline(step...n='ignore'))]), Index(['title..., dtype='str'))]</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually sk-global\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>num</div></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"preprocessor__num__\"><pre>Index(['male', 'isMarried', 'isNoble', 'age', 'numDeadRelations',\n",
|
|||
|
|
" 'popularity'],\n",
|
|||
|
|
" dtype='str')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually sk-global\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>SimpleImputer</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html\">?<span>Documentation for SimpleImputer</span></a></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"preprocessor__num__imputer__\">\n",
|
|||
|
|
" <div class=\"estimator-table\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>Parameters</summary>\n",
|
|||
|
|
" <table class=\"parameters-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr class=\"user-set\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('strategy',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-strategy;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=strategy,-str%20or%20Callable%2C%20default%3D%27mean%27\">\n",
|
|||
|
|
" strategy\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-strategy;\">\n",
|
|||
|
|
" strategy: str or Callable, default='mean'<br><br>The imputation strategy.<br><br>- If "mean", then replace missing values using the mean along<br> each column. Can only be used with numeric data.<br>- If "median", then replace missing values using the median along<br> each column. Can only be used with numeric data.<br>- If "most_frequent", then replace missing using the most frequent<br> value along each column. Can be used with strings or numeric data.<br> If there is more than one such value, only the smallest is returned.<br>- If "constant", then replace missing values with fill_value. Can be<br> used with strings or numeric data.<br>- If an instance of Callable, then replace missing values using the<br> scalar statistic returned by running the callable over a dense 1d<br> array containing non-missing values of each column.<br><br>.. versionadded:: 0.20<br> strategy="constant" for fixed value imputation.<br><br>.. versionadded:: 1.5<br> strategy=callable for custom value imputation.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">'median'</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('missing_values',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-missing_values;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=missing_values,-int%2C%20float%2C%20str%2C%20np.nan%2C%20None%20or%20pandas.NA%2C%20default%3Dnp.nan\">\n",
|
|||
|
|
" missing_values\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-missing_values;\">\n",
|
|||
|
|
" missing_values: int, float, str, np.nan, None or pandas.NA, default=np.nan<br><br>The placeholder for the missing values. All occurrences of<br>`missing_values` will be imputed. For pandas' dataframes with<br>nullable integer dtypes with missing values, `missing_values`<br>can be set to either `np.nan` or `pd.NA`.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">nan</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('fill_value',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-fill_value;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=fill_value,-str%20or%20numerical%20value%2C%20default%3DNone\">\n",
|
|||
|
|
" fill_value\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-fill_value;\">\n",
|
|||
|
|
" fill_value: str or numerical value, default=None<br><br>When strategy == "constant", `fill_value` is used to replace all<br>occurrences of missing_values. For string or object data types,<br>`fill_value` must be a string.<br>If `None`, `fill_value` will be 0 when imputing numerical<br>data and "missing_value" for strings or object data types.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('copy',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-copy;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=copy,-bool%2C%20default%3DTrue\">\n",
|
|||
|
|
" copy\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-copy;\">\n",
|
|||
|
|
" copy: bool, default=True<br><br>If True, a copy of X will be created. If False, imputation will<br>be done in-place whenever possible. Note that, in the following cases,<br>a new copy will always be made, even if `copy=False`:<br><br>- If `X` is not an array of floating values;<br>- If `X` is encoded as a CSR matrix;<br>- If `add_indicator=True`.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">True</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('add_indicator',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-add_indicator;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=add_indicator,-bool%2C%20default%3DFalse\">\n",
|
|||
|
|
" add_indicator\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-add_indicator;\">\n",
|
|||
|
|
" add_indicator: bool, default=False<br><br>If True, a :class:`MissingIndicator` transform will stack onto output<br>of the imputer's transform. This allows a predictive estimator<br>to account for missingness despite imputation. If a feature has no<br>missing values at fit/train time, the feature won't appear on<br>the missing indicator even if there are missing values at<br>transform/test time.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">False</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('keep_empty_features',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-keep_empty_features;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=keep_empty_features,-bool%2C%20default%3DFalse\">\n",
|
|||
|
|
" keep_empty_features\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-keep_empty_features;\">\n",
|
|||
|
|
" keep_empty_features: bool, default=False<br><br>If True, features that consist exclusively of missing values when<br>`fit` is called are returned in results when `transform` is called.<br>The imputed value is always `0` except when `strategy="constant"`<br>in which case `fill_value` will be used instead.<br><br>.. versionadded:: 1.2</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">False</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <div class=\"estimator-table\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>Fitted attributes</summary>\n",
|
|||
|
|
" <table class=\"parameters-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Name</th>\n",
|
|||
|
|
" <th>Type</th>\n",
|
|||
|
|
" <th>Value</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-feature_names_in_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=feature_names_in_,-ndarray%20of%20shape%20%28n_features_in_%2C%29\">\n",
|
|||
|
|
" feature_names_in_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-feature_names_in_;\">\n",
|
|||
|
|
" feature_names_in_: ndarray of shape (`n_features_in_`,)<br><br>Names of features seen during :term:`fit`. Defined only when `X`<br>has feature names that are all strings.<br><br>.. versionadded:: 1.0</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">ndarray[object](6,)</td>\n",
|
|||
|
|
" <td>['male','isMarried','isNoble','age','numDeadRelations','popularity']</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-indicator_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=indicator_,-%3Aclass%3A~sklearn.impute.MissingIndicator\">\n",
|
|||
|
|
" indicator_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-indicator_;\">\n",
|
|||
|
|
" indicator_: :class:`~sklearn.impute.MissingIndicator`<br><br>Indicator used to add binary indicators for missing values.<br>`None` if `add_indicator=False`.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">NoneType</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-n_features_in_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=n_features_in_,-int\">\n",
|
|||
|
|
" n_features_in_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-n_features_in_;\">\n",
|
|||
|
|
" n_features_in_: int<br><br>Number of features seen during :term:`fit`.<br><br>.. versionadded:: 0.24</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">int</td>\n",
|
|||
|
|
" <td>6</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-statistics_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=statistics_,-array%20of%20shape%20%28n_features%2C%29\">\n",
|
|||
|
|
" statistics_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-statistics_;\">\n",
|
|||
|
|
" statistics_: array of shape (n_features,)<br><br>The imputation fill value for each feature.<br>Computing statistics can result in `np.nan` values.<br>During :meth:`transform`, features corresponding to `np.nan`<br>statistics will be discarded.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">ndarray[float64](6,)</td>\n",
|
|||
|
|
" <td>[ 1. , 0. , 0. ,28.5 , 0. , 0.03]</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </div></div></div>\n",
|
|||
|
|
" <div class=\"features fitted\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>\n",
|
|||
|
|
" <div class=\"arrow\"></div>\n",
|
|||
|
|
" <div>6 features</div>\n",
|
|||
|
|
" <div class=\"image-container\" title=\"Copy all output features\">\n",
|
|||
|
|
" <i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"\n",
|
|||
|
|
" event.stopPropagation();\n",
|
|||
|
|
" event.preventDefault();\n",
|
|||
|
|
" copyFeatureNamesToClipboard(this);\n",
|
|||
|
|
" \"\n",
|
|||
|
|
" >\n",
|
|||
|
|
" </i>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </summary>\n",
|
|||
|
|
" <div class=\"features-container\">\n",
|
|||
|
|
" <table class=\"features-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>male</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>isMarried</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>isNoble</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>age</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>numDeadRelations</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>popularity</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" <div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually sk-global\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>StandardScaler</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.StandardScaler.html\">?<span>Documentation for StandardScaler</span></a></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"preprocessor__num__scaler__\">\n",
|
|||
|
|
" <div class=\"estimator-table\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>Parameters</summary>\n",
|
|||
|
|
" <table class=\"parameters-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('copy',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-copy;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.StandardScaler.html#:~:text=copy,-bool%2C%20default%3DTrue\">\n",
|
|||
|
|
" copy\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-copy;\">\n",
|
|||
|
|
" copy: bool, default=True<br><br>If False, try to avoid a copy and do inplace scaling instead.<br>This is not guaranteed to always work inplace; e.g. if the data is<br>not a NumPy array or scipy.sparse CSR matrix, a copy may still be<br>returned.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">True</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('with_mean',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-with_mean;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.StandardScaler.html#:~:text=with_mean,-bool%2C%20default%3DTrue\">\n",
|
|||
|
|
" with_mean\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-with_mean;\">\n",
|
|||
|
|
" with_mean: bool, default=True<br><br>If True, center the data before scaling.<br>This does not work (and will raise an exception) when attempted on<br>sparse matrices, because centering them entails building a dense<br>matrix which in common use cases is likely to be too large to fit in<br>memory.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">True</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('with_std',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-with_std;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.StandardScaler.html#:~:text=with_std,-bool%2C%20default%3DTrue\">\n",
|
|||
|
|
" with_std\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-with_std;\">\n",
|
|||
|
|
" with_std: bool, default=True<br><br>If True, scale the data to unit variance (or equivalently,<br>unit standard deviation).</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">True</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <div class=\"estimator-table\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>Fitted attributes</summary>\n",
|
|||
|
|
" <table class=\"parameters-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Name</th>\n",
|
|||
|
|
" <th>Type</th>\n",
|
|||
|
|
" <th>Value</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-mean_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.StandardScaler.html#:~:text=mean_,-ndarray%20of%20shape%20%28n_features%2C%29%20or%20None\">\n",
|
|||
|
|
" mean_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-mean_;\">\n",
|
|||
|
|
" mean_: ndarray of shape (n_features,) or None<br><br>The mean value for each feature in the training set.<br>Equal to ``None`` when ``with_mean=False`` and ``with_std=False``.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">ndarray[float64](6,)</td>\n",
|
|||
|
|
" <td>[ 0.63, 0.14, 0.46,-173.77, 0.3 , 0.09]</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-n_features_in_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.StandardScaler.html#:~:text=n_features_in_,-int\">\n",
|
|||
|
|
" n_features_in_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-n_features_in_;\">\n",
|
|||
|
|
" n_features_in_: int<br><br>Number of features seen during :term:`fit`.<br><br>.. versionadded:: 0.24</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">int</td>\n",
|
|||
|
|
" <td>6</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-n_samples_seen_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.StandardScaler.html#:~:text=n_samples_seen_,-int%20or%20ndarray%20of%20shape%20%28n_features%2C%29\">\n",
|
|||
|
|
" n_samples_seen_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-n_samples_seen_;\">\n",
|
|||
|
|
" n_samples_seen_: int or ndarray of shape (n_features,)<br><br>The number of samples processed by the estimator for each feature.<br>If there are no missing samples, the ``n_samples_seen`` will be an<br>integer, otherwise it will be an array of dtype int. If<br>`sample_weights` are used it will be a float (if no missing data)<br>or an array of dtype float that sums the weights seen so far.<br>Will be reset on new calls to fit, but increments across<br>``partial_fit`` calls.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">float64</td>\n",
|
|||
|
|
" <td>1459</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-scale_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.StandardScaler.html#:~:text=scale_,-ndarray%20of%20shape%20%28n_features%2C%29%20or%20None\">\n",
|
|||
|
|
" scale_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-scale_;\">\n",
|
|||
|
|
" scale_: ndarray of shape (n_features,) or None<br><br>Per feature relative scaling of the data to achieve zero mean and unit<br>variance. Generally this is calculated using `np.sqrt(var_)`. If a<br>variance is zero, we can't achieve unit variance, and the data is left<br>as-is, giving a scaling factor of 1. `scale_` is equal to `None`<br>when `with_std=False`.<br><br>.. versionadded:: 0.17<br> *scale_*</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">ndarray[float64](6,)</td>\n",
|
|||
|
|
" <td>[ 0.48, 0.35, 0.5 ,7799.85, 1.32, 0.16]</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-var_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.StandardScaler.html#:~:text=var_,-ndarray%20of%20shape%20%28n_features%2C%29%20or%20None\">\n",
|
|||
|
|
" var_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-var_;\">\n",
|
|||
|
|
" var_: ndarray of shape (n_features,) or None<br><br>The variance for each feature in the training set. Used to compute<br>`scale_`. Equal to ``None`` when ``with_mean=False`` and<br>``with_std=False``.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">ndarray[float64](6,)</td>\n",
|
|||
|
|
" <td>[ 0.23, 0.12, 0.25,60837648.22, 1.74, 0.03]</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </div></div></div>\n",
|
|||
|
|
" <div class=\"features fitted\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>\n",
|
|||
|
|
" <div class=\"arrow\"></div>\n",
|
|||
|
|
" <div>6 features</div>\n",
|
|||
|
|
" <div class=\"image-container\" title=\"Copy all output features\">\n",
|
|||
|
|
" <i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"\n",
|
|||
|
|
" event.stopPropagation();\n",
|
|||
|
|
" event.preventDefault();\n",
|
|||
|
|
" copyFeatureNamesToClipboard(this);\n",
|
|||
|
|
" \"\n",
|
|||
|
|
" >\n",
|
|||
|
|
" </i>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </summary>\n",
|
|||
|
|
" <div class=\"features-container\">\n",
|
|||
|
|
" <table class=\"features-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x3</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x4</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x5</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually sk-global\" id=\"sk-estimator-id-6\" type=\"checkbox\" ><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>cat</div></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"preprocessor__cat__\"><pre>Index(['title', 'culture', 'house'], dtype='str')</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually sk-global\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>SimpleImputer</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html\">?<span>Documentation for SimpleImputer</span></a></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"preprocessor__cat__imputer__\">\n",
|
|||
|
|
" <div class=\"estimator-table\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>Parameters</summary>\n",
|
|||
|
|
" <table class=\"parameters-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr class=\"user-set\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('strategy',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-strategy;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=strategy,-str%20or%20Callable%2C%20default%3D%27mean%27\">\n",
|
|||
|
|
" strategy\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-strategy;\">\n",
|
|||
|
|
" strategy: str or Callable, default='mean'<br><br>The imputation strategy.<br><br>- If "mean", then replace missing values using the mean along<br> each column. Can only be used with numeric data.<br>- If "median", then replace missing values using the median along<br> each column. Can only be used with numeric data.<br>- If "most_frequent", then replace missing using the most frequent<br> value along each column. Can be used with strings or numeric data.<br> If there is more than one such value, only the smallest is returned.<br>- If "constant", then replace missing values with fill_value. Can be<br> used with strings or numeric data.<br>- If an instance of Callable, then replace missing values using the<br> scalar statistic returned by running the callable over a dense 1d<br> array containing non-missing values of each column.<br><br>.. versionadded:: 0.20<br> strategy="constant" for fixed value imputation.<br><br>.. versionadded:: 1.5<br> strategy=callable for custom value imputation.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">'most_frequent'</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('missing_values',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-missing_values;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=missing_values,-int%2C%20float%2C%20str%2C%20np.nan%2C%20None%20or%20pandas.NA%2C%20default%3Dnp.nan\">\n",
|
|||
|
|
" missing_values\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-missing_values;\">\n",
|
|||
|
|
" missing_values: int, float, str, np.nan, None or pandas.NA, default=np.nan<br><br>The placeholder for the missing values. All occurrences of<br>`missing_values` will be imputed. For pandas' dataframes with<br>nullable integer dtypes with missing values, `missing_values`<br>can be set to either `np.nan` or `pd.NA`.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">nan</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('fill_value',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-fill_value;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=fill_value,-str%20or%20numerical%20value%2C%20default%3DNone\">\n",
|
|||
|
|
" fill_value\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-fill_value;\">\n",
|
|||
|
|
" fill_value: str or numerical value, default=None<br><br>When strategy == "constant", `fill_value` is used to replace all<br>occurrences of missing_values. For string or object data types,<br>`fill_value` must be a string.<br>If `None`, `fill_value` will be 0 when imputing numerical<br>data and "missing_value" for strings or object data types.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('copy',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-copy;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=copy,-bool%2C%20default%3DTrue\">\n",
|
|||
|
|
" copy\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-copy;\">\n",
|
|||
|
|
" copy: bool, default=True<br><br>If True, a copy of X will be created. If False, imputation will<br>be done in-place whenever possible. Note that, in the following cases,<br>a new copy will always be made, even if `copy=False`:<br><br>- If `X` is not an array of floating values;<br>- If `X` is encoded as a CSR matrix;<br>- If `add_indicator=True`.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">True</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('add_indicator',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-add_indicator;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=add_indicator,-bool%2C%20default%3DFalse\">\n",
|
|||
|
|
" add_indicator\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-add_indicator;\">\n",
|
|||
|
|
" add_indicator: bool, default=False<br><br>If True, a :class:`MissingIndicator` transform will stack onto output<br>of the imputer's transform. This allows a predictive estimator<br>to account for missingness despite imputation. If a feature has no<br>missing values at fit/train time, the feature won't appear on<br>the missing indicator even if there are missing values at<br>transform/test time.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">False</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('keep_empty_features',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-keep_empty_features;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=keep_empty_features,-bool%2C%20default%3DFalse\">\n",
|
|||
|
|
" keep_empty_features\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-keep_empty_features;\">\n",
|
|||
|
|
" keep_empty_features: bool, default=False<br><br>If True, features that consist exclusively of missing values when<br>`fit` is called are returned in results when `transform` is called.<br>The imputed value is always `0` except when `strategy="constant"`<br>in which case `fill_value` will be used instead.<br><br>.. versionadded:: 1.2</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">False</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <div class=\"estimator-table\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>Fitted attributes</summary>\n",
|
|||
|
|
" <table class=\"parameters-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Name</th>\n",
|
|||
|
|
" <th>Type</th>\n",
|
|||
|
|
" <th>Value</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-feature_names_in_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=feature_names_in_,-ndarray%20of%20shape%20%28n_features_in_%2C%29\">\n",
|
|||
|
|
" feature_names_in_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-feature_names_in_;\">\n",
|
|||
|
|
" feature_names_in_: ndarray of shape (`n_features_in_`,)<br><br>Names of features seen during :term:`fit`. Defined only when `X`<br>has feature names that are all strings.<br><br>.. versionadded:: 1.0</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">ndarray[object](3,)</td>\n",
|
|||
|
|
" <td>['title','culture','house']</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-indicator_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=indicator_,-%3Aclass%3A~sklearn.impute.MissingIndicator\">\n",
|
|||
|
|
" indicator_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-indicator_;\">\n",
|
|||
|
|
" indicator_: :class:`~sklearn.impute.MissingIndicator`<br><br>Indicator used to add binary indicators for missing values.<br>`None` if `add_indicator=False`.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">NoneType</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-n_features_in_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=n_features_in_,-int\">\n",
|
|||
|
|
" n_features_in_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-n_features_in_;\">\n",
|
|||
|
|
" n_features_in_: int<br><br>Number of features seen during :term:`fit`.<br><br>.. versionadded:: 0.24</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">int</td>\n",
|
|||
|
|
" <td>3</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-statistics_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.impute.SimpleImputer.html#:~:text=statistics_,-array%20of%20shape%20%28n_features%2C%29\">\n",
|
|||
|
|
" statistics_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-statistics_;\">\n",
|
|||
|
|
" statistics_: array of shape (n_features,)<br><br>The imputation fill value for each feature.<br>Computing statistics can result in `np.nan` values.<br>During :meth:`transform`, features corresponding to `np.nan`<br>statistics will be discarded.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">ndarray[object](3,)</td>\n",
|
|||
|
|
" <td>['Ser','Northmen',"Night's Watch"]</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </div></div></div>\n",
|
|||
|
|
" <div class=\"features fitted\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>\n",
|
|||
|
|
" <div class=\"arrow\"></div>\n",
|
|||
|
|
" <div>3 features</div>\n",
|
|||
|
|
" <div class=\"image-container\" title=\"Copy all output features\">\n",
|
|||
|
|
" <i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"\n",
|
|||
|
|
" event.stopPropagation();\n",
|
|||
|
|
" event.preventDefault();\n",
|
|||
|
|
" copyFeatureNamesToClipboard(this);\n",
|
|||
|
|
" \"\n",
|
|||
|
|
" >\n",
|
|||
|
|
" </i>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </summary>\n",
|
|||
|
|
" <div class=\"features-container\">\n",
|
|||
|
|
" <table class=\"features-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>title</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>culture</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>house</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" <div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually sk-global\" id=\"sk-estimator-id-8\" type=\"checkbox\" ><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>OneHotEncoder</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.OneHotEncoder.html\">?<span>Documentation for OneHotEncoder</span></a></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"preprocessor__cat__onehot__\">\n",
|
|||
|
|
" <div class=\"estimator-table\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>Parameters</summary>\n",
|
|||
|
|
" <table class=\"parameters-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr class=\"user-set\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('handle_unknown',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-handle_unknown;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.OneHotEncoder.html#:~:text=handle_unknown,-%7B%27error%27%2C%20%27ignore%27%2C%20%27infrequent_if_exist%27%2C%20%27warn%27%7D%2C%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20default%3D%27error%27\">\n",
|
|||
|
|
" handle_unknown\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-handle_unknown;\">\n",
|
|||
|
|
" handle_unknown: {'error', 'ignore', 'infrequent_if_exist', 'warn'}, default='error'<br><br>Specifies the way unknown categories are handled during :meth:`transform`.<br><br>- 'error' : Raise an error if an unknown category is present during transform.<br>- 'ignore' : When an unknown category is encountered during<br> transform, the resulting one-hot encoded columns for this feature<br> will be all zeros. In the inverse transform, an unknown category<br> will be denoted as None.<br>- 'infrequent_if_exist' : When an unknown category is encountered<br> during transform, the resulting one-hot encoded columns for this<br> feature will map to the infrequent category if it exists. The<br> infrequent category will be mapped to the last position in the<br> encoding. During inverse transform, an unknown category will be<br> mapped to the category denoted `'infrequent'` if it exists. If the<br> `'infrequent'` category does not exist, then :meth:`transform` and<br> :meth:`inverse_transform` will handle an unknown category as with<br> `handle_unknown='ignore'`. Infrequent categories exist based on<br> `min_frequency` and `max_categories`. Read more in the<br> :ref:`User Guide <encoder_infrequent_categories>`.<br>- 'warn' : When an unknown category is encountered during transform<br> a warning is issued, and the encoding then proceeds as described for<br> `handle_unknown="infrequent_if_exist"`.<br><br>.. versionchanged:: 1.1<br> `'infrequent_if_exist'` was added to automatically handle unknown<br> categories and infrequent categories.<br><br>.. versionadded:: 1.6<br> The option `"warn"` was added in 1.6.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">'ignore'</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('categories',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-categories;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.OneHotEncoder.html#:~:text=categories,-%27auto%27%20or%20a%20list%20of%20array-like%2C%20default%3D%27auto%27\">\n",
|
|||
|
|
" categories\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-categories;\">\n",
|
|||
|
|
" categories: 'auto' or a list of array-like, default='auto'<br><br>Categories (unique values) per feature:<br><br>- 'auto' : Determine categories automatically from the training data.<br>- list : ``categories[i]`` holds the categories expected in the ith<br> column. The passed categories should not mix strings and numeric<br> values within a single feature, and should be sorted in case of<br> numeric values.<br><br>The used categories can be found in the ``categories_`` attribute.<br><br>.. versionadded:: 0.20</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">'auto'</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('drop',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-drop;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.OneHotEncoder.html#:~:text=drop,-%7B%27first%27%2C%20%27if_binary%27%7D%20or%20an%20array-like%20of%20shape%20%28n_features%2C%29%2C%20%20%20%20%20%20%20%20%20%20%20%20%20default%3DNone\">\n",
|
|||
|
|
" drop\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-drop;\">\n",
|
|||
|
|
" drop: {'first', 'if_binary'} or an array-like of shape (n_features,), default=None<br><br>Specifies a methodology to use to drop one of the categories per<br>feature. This is useful in situations where perfectly collinear<br>features cause problems, such as when feeding the resulting data<br>into an unregularized linear regression model.<br><br>However, dropping one category breaks the symmetry of the original<br>representation and can therefore induce a bias in downstream models,<br>for instance for penalized linear classification or regression models.<br><br>- None : retain all features (the default).<br>- 'first' : drop the first category in each feature. If only one<br> category is present, the feature will be dropped entirely.<br>- 'if_binary' : drop the first category in each feature with two<br> categories. Features with 1 or more than 2 categories are<br> left intact.<br>- array : ``drop[i]`` is the category in feature ``X[:, i]`` that<br> should be dropped.<br><br>When `max_categories` or `min_frequency` is configured to group<br>infrequent categories, the dropping behavior is handled after the<br>grouping.<br><br>.. versionadded:: 0.21<br> The parameter `drop` was added in 0.21.<br><br>.. versionchanged:: 0.23<br> The option `drop='if_binary'` was added in 0.23.<br><br>.. versionchanged:: 1.1<br> Support for dropping infrequent categories.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('sparse_output',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-sparse_output;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.OneHotEncoder.html#:~:text=sparse_output,-bool%2C%20default%3DTrue\">\n",
|
|||
|
|
" sparse_output\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-sparse_output;\">\n",
|
|||
|
|
" sparse_output: bool, default=True<br><br>When ``True``, it returns a SciPy sparse matrix/array<br>in "Compressed Sparse Row" (CSR) format.<br><br>.. versionadded:: 1.2<br> `sparse` was renamed to `sparse_output`</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">True</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('dtype',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-dtype;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.OneHotEncoder.html#:~:text=dtype,-number%20type%2C%20default%3Dnp.float64\">\n",
|
|||
|
|
" dtype\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-dtype;\">\n",
|
|||
|
|
" dtype: number type, default=np.float64<br><br>Desired dtype of output.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\"><class 'numpy.float64'></td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('min_frequency',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-min_frequency;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.OneHotEncoder.html#:~:text=min_frequency,-int%20or%20float%2C%20default%3DNone\">\n",
|
|||
|
|
" min_frequency\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-min_frequency;\">\n",
|
|||
|
|
" min_frequency: int or float, default=None<br><br>Specifies the minimum frequency below which a category will be<br>considered infrequent.<br><br>- If `int`, categories with a smaller cardinality will be considered<br> infrequent.<br><br>- If `float`, categories with a smaller cardinality than<br> `min_frequency * n_samples` will be considered infrequent.<br><br>.. versionadded:: 1.1<br> Read more in the :ref:`User Guide <encoder_infrequent_categories>`.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('max_categories',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-max_categories;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.OneHotEncoder.html#:~:text=max_categories,-int%2C%20default%3DNone\">\n",
|
|||
|
|
" max_categories\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-max_categories;\">\n",
|
|||
|
|
" max_categories: int, default=None<br><br>Specifies an upper limit to the number of output features for each input<br>feature when considering infrequent categories. If there are infrequent<br>categories, `max_categories` includes the category representing the<br>infrequent categories along with the frequent categories. If `None`,<br>there is no limit to the number of output features.<br><br>.. versionadded:: 1.1<br> Read more in the :ref:`User Guide <encoder_infrequent_categories>`.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('feature_name_combiner',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-feature_name_combiner;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.OneHotEncoder.html#:~:text=feature_name_combiner,-%22concat%22%20or%20callable%2C%20default%3D%22concat%22\">\n",
|
|||
|
|
" feature_name_combiner\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-feature_name_combiner;\">\n",
|
|||
|
|
" feature_name_combiner: "concat" or callable, default="concat"<br><br>Callable with signature `def callable(input_feature, category)` that returns a<br>string. This is used to create feature names to be returned by<br>:meth:`get_feature_names_out`.<br><br>`"concat"` concatenates encoded feature name and category with<br>`feature + "_" + str(category)`.E.g. feature X with values 1, 6, 7 create<br>feature names `X_1, X_6, X_7`.<br><br>.. versionadded:: 1.3</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">'concat'</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <div class=\"estimator-table\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>Fitted attributes</summary>\n",
|
|||
|
|
" <table class=\"parameters-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Name</th>\n",
|
|||
|
|
" <th>Type</th>\n",
|
|||
|
|
" <th>Value</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-categories_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.OneHotEncoder.html#:~:text=categories_,-list%20of%20arrays\">\n",
|
|||
|
|
" categories_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-categories_;\">\n",
|
|||
|
|
" categories_: list of arrays<br><br>The categories of each feature determined during fitting<br>(in order of the features in X and corresponding with the output<br>of ``transform``). This includes the category specified in ``drop``<br>(if any).</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">list</td>\n",
|
|||
|
|
" <td>[array(['Acorn... dtype=object), array(['Andal... dtype=object), array(["Alche... dtype=object)]</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-drop_idx_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.OneHotEncoder.html#:~:text=drop_idx_,-array%20of%20shape%20%28n_features%2C%29\">\n",
|
|||
|
|
" drop_idx_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-drop_idx_;\">\n",
|
|||
|
|
" drop_idx_: array of shape (n_features,)<br><br>- ``drop_idx_[i]`` is the index in ``categories_[i]`` of the category<br> to be dropped for each feature.<br>- ``drop_idx_[i] = None`` if no category is to be dropped from the<br> feature with index ``i``, e.g. when `drop='if_binary'` and the<br> feature isn't binary.<br>- ``drop_idx_ = None`` if all the transformed features will be<br> retained.<br><br>If infrequent categories are enabled by setting `min_frequency` or<br>`max_categories` to a non-default value and `drop_idx[i]` corresponds<br>to an infrequent category, then the entire infrequent category is<br>dropped.<br><br>.. versionchanged:: 0.23<br> Added the possibility to contain `None` values.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">NoneType</td>\n",
|
|||
|
|
" <td>None</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-n_features_in_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.preprocessing.OneHotEncoder.html#:~:text=n_features_in_,-int\">\n",
|
|||
|
|
" n_features_in_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-n_features_in_;\">\n",
|
|||
|
|
" n_features_in_: int<br><br>Number of features seen during :term:`fit`.<br><br>.. versionadded:: 1.0</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">int</td>\n",
|
|||
|
|
" <td>3</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </div></div></div>\n",
|
|||
|
|
" <div class=\"features fitted\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>\n",
|
|||
|
|
" <div class=\"arrow\"></div>\n",
|
|||
|
|
" <div>569 features</div>\n",
|
|||
|
|
" <div class=\"image-container\" title=\"Copy all output features\">\n",
|
|||
|
|
" <i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"\n",
|
|||
|
|
" event.stopPropagation();\n",
|
|||
|
|
" event.preventDefault();\n",
|
|||
|
|
" copyFeatureNamesToClipboard(this);\n",
|
|||
|
|
" \"\n",
|
|||
|
|
" >\n",
|
|||
|
|
" </i>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </summary>\n",
|
|||
|
|
" <div class=\"features-container\">\n",
|
|||
|
|
" <table class=\"features-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Acorn Hall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Andals</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Arbor</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Archmaester</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Ashford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Barrowton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Bear Island</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Big BucketThe Wull</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Bitterbridge</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Blackcrown</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Blackmont</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Bloodrider</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Blue Grace</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Brightwater</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Broad Arch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Brother</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Captain</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Captain of the guard</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Captain-General</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Castellan</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_CastellanCommander</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Casterly Rock</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Castle Lychester</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Cerwyn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Cobblecat</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Coldmoat</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Coldwater Burn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Commander of the City Watch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Commander of the Second Sons</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Crag</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Crakehall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Cupbearer</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Darry</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Deepwood Motte</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Dreadfort</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Duskendale</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Dyre Den</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Eastwatch-by-the-Sea</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Eyrie</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Fair Isle</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Feastfires</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Felwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_First Ranger</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_First Sword of Braavos</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Foamdrinker</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Ghost Hill</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Godswife</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Golden Tooth</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Goldengrove</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Goldgrass</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Good Master</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Goodman</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Goodwife</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Grand Maester</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Grassy Vale</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Greenshield</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Greenstone</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Grey Glen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Greywater Watch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Gulltown</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Hand of the King</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Harlaw</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Harrenhal</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Harridan Hill</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Hayford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Haystack Hall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Heart's Home</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_High Septon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_High Steward of Highgarden</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Highgarden</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Hightower</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Horn Hill</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Hornvale</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Hornwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Ironoaks</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Karhold</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Kayce</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Keeper of the Gates of the Moon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Khal</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_KhalKo (formerly)</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Khalakka</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_King</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_King in the North</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_King of Winter</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_King of the Andals</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_King-Beyond-the-Wall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Knight</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Knight of Griffin's Roost</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lady</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lady of Bear Island</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lady of Darry</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lady of Torrhen's Square</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lady of the Vale</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_LadyQueen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_LadyQueenDowager Queen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Last Hearth</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Light of the West</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lonely Light</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Longsister</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Longtable</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord Captain of the Iron Fleet</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord Commander of the Night's Watch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord Paramount of the Mander</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord Paramount of the Trident</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord Reaper of Pyke</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord Seneschal</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord Steward</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of Blackhaven</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of Coldmoat</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of Crows Nest</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of Dragonstone</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of Flint's Finger</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of Greyshield</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of Griffin's Roost</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of Hammerhorn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of Harrenhal</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of Oakenshield</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of Oldcastle</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of Pebbleton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of Starfall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of Sunflower Hall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of the Crossing</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of the Deep Den</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of the Hornwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of the Iron Islands</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of the Marches</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of the Red Dunes</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of the Seven Kingdoms</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of the Snakewood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of the Ten TowersLord Harlaw of HarlawHarlaw of Harlaw</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Lord of the Tides</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Maester</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Magister</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Maidenpool</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Master of Coin</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Master of Deepwood Motte</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Master of Harlaw Hall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Master of coin</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Master of whisperers</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Master-at-Arms</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Mistress of whisperers</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Nightsong</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Oarmaster</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Old Oak</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Old Wyk</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Prince</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Prince of Dorne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Prince of Dragonstone</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Prince of Winterfell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Prince of WinterfellHeir to Winterfell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Prince of the Narrow Sea</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Princess</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_PrincessQueen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_PrincessQueenDowager Queen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Protector of the Realm</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Queen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_QueenDowager Queen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Red Flower Vale</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Redfort</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Rills</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Riverrun</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Rook's Rest</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Ruddy Hall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Runestone</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Salt Shore</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Sandship</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Sealord</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Sealskin Point</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Seneschal</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Septa</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Septon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Ser</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_SerCastellan of Casterly Rock</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Seven Kingdoms</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Sharp Point</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Shatterstone</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Slave of R'hllor</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Starpike</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Steward</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Stokeworth</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Stonehelm</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Storm's End</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Sunspear</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Ten Towers</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_The LiddleLord Liddle</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_The NorreyLord Norrey</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Three Towers</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Tower of Glimmering</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Tradesman-Captain</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Twins</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Uplands</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Volmark</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Warlock</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Whitewalls</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Widow's Watch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Winterfell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Wisdom</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_Wraith</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_[1]</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_green lands</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_master of ships</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_red hand</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_the Crossing</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x0_the Dreadfort</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Andal</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Andals</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Asshai</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Asshai'i</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Astapor</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Astapori</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Braavosi</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Crannogmen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Dorne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Dornish</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Dornishmen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Dothraki</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_First Men</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Free Folk</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Free folk</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Ghiscari</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Ghiscaricari</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Ironborn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Ironmen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Lhazareen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Lhazarene</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Lysene</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Lyseni</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Meereen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Meereenese</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Myrish</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Northern mountain clans</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Northmen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Norvos</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Norvoshi</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Pentoshi</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Qarth</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Qartheen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Qohor</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Reach</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Reachmen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Rhoynar</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Rivermen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Sistermen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Stormlander</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Stormlands</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Summer Islander</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Summer Islands</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Summer Isles</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Tyroshi</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Vale</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Vale mountain clans</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Valemen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Valyrian</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Westerlands</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Westerman</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Westermen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Westeros</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Wildling</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_Wildlings</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_free folk</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_northmen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x1_westermen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Alchemists' Guild</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Antler Men</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Band of Nine</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Black Ears</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Blacks</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Brave Companions</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Brotherhood Without Banners</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Brotherhood without Banners</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Brotherhood without banners</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Burned Men</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Chataya's brothel</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Citadel</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Company of the Cat</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Drowned men</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Faceless Men</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Faith of the Seven</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Golden Company</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Good Masters</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Happy Port</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Ambrose</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Arryn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Ashford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Baelish</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Ball</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Bar Emmon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Baratheon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Baratheon of Dragonstone</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Baratheon of King's Landing</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Beesbury</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Belmore</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Bettley</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Blackberry</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Blackfyre</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Blackmont</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Blackwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Boggs</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Bolling</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Bolton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Bolton of the Dreadfort</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Botley</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Bracken</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Brax</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Broom</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Brune of Brownhollow</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Brune of the Dyre Den</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Buckler</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Bulwer</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Bushy</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Butterwell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Byrch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Bywater</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Cafferen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Caron</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Cassel</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Caswell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Cerwyn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Charlton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Chelsted</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Chester</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Clegane</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Clifton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Cockshaw</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Codd</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Coldwater</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Condon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Connington</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Corbray</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Costayne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Crabb</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Crakehall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Crane</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Cupps</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Cuy</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Dalt</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Darklyn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Darry</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Dayne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Dayne of High Hermitage</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Deddings</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Dondarrion</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Drumm</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Dustin</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Erenford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Errol</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Estermont</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Farman</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Farring</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Farwynd</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Farwynd of the Lonely Light</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Fell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Flint</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Flint of Widow's Watch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Florent</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Fossoway</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Fossoway of Cider Hall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Fossoway of New Barrel</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Frey</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Frey of Riverrun</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Gargalen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Gaunt</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Glover</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Goodbrook</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Goodbrother</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Goodbrother of Shatterstone</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Graceford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Grafton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Greenfield</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Greenhill</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Grell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Greyjoy</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Grimm</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Haigh</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Harclay</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Hardy</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Hardyng</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Harlaw</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Harlaw of Grey Garden</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Harlaw of Harlaw Hall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Harlaw of Harridan Hill</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Harlaw of the Tower of Glimmering</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Hasty</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Hawick</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Hayford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Heddle</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Hetherspoon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Hewett</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Hightower</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Hogg</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Hollard</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Hornwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Horpe</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Humble</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Hunt</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Hunter</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Inchfield</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Ironmaker</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Jast</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Jordayne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Karstark</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Kenning of Harlaw</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Kenning of Kayce</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Kettleblack</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Lannister</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Lannister of Casterly Rock</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Lannister of Lannisport</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Leek</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Lefford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Liddle</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Locke</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Longthorpe</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Lorch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Lothston</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Lychester</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Lydden</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Lynderly</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Mallery</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Mallister</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Manderly</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Manwoody</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Marbrand</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Martell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Meadows</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Merlyn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Merryweather</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Mertyns</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Mollen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Moore</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Mooton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Moreland</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Mormont</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Morrigen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Mudd</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Mullendore</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Myre</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Nayland</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Norcross</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Norrey</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Norridge</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Nymeros Martell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Oakheart</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Osgrey</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Paege</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Payne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Peake</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Peckledon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Pemford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Penny</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Penrose</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Piper</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Plumm</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Poole</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Potter</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Prester</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Qorgyle</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Rambton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Redfort</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Redwyne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Reed</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Reyne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Rhysling</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Risley</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Roote</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Rosby</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Rowan</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Royce</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Royce of the Gates of the Moon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Ruttiger</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Ryger</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Rykker</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Ryswell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Santagar</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Sarsfield</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Seaworth</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Selmy</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Sharp</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Shepherd</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Slynt</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Smallwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Sparr</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Spicer</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Stackspear</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Staedmon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Stark</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Staunton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Stokeworth</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Stonetree</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Stout</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Strickland</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Strong</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Suggs</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Sunglass</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Swann</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Swyft</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Tallhart</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Targaryen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Tarly</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Tarth</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Tawney</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Templeton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Thorne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Toland</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Tollett</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Toyne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Tully</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Turnberry</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Tyrell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Uffering</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Uller</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Umber</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Vaith</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Vance</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Vance of Atranta</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Vance of Wayfarer's Rest</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Varner</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Velaryon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Vikary</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Volmark</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Vypren</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Vyrwel</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Wagstaff</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Wayn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Waynwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Weaver</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Webber</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Wells</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Westerling</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Whent</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Willum</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Woolfield</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Wull</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Wylde</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Wythers</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Yew</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House Yronwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House of Galare</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House of Ghazeen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House of Kandaq</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House of Loraq</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House of Pahl</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_House of Reznak</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Iron Bank of Braavos</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Khal</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Kingdom of the Three Daughters</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Kingsguard</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Kingswood Brotherhood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Maesters</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Mance Rayder</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Moon Brothers</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Night's Watch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Peach</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Pureborn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Queensguard</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_R'hllor</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Sea watch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Second Sons</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Stone Crows</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Stormcrows</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Summer Islands</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_The Citadel</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Thirteen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Three-eyed crow</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Undying Ones</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Unsullied</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Windblown</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_Wise Masters</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>x2_wildling</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </div></div></div></div></div></div><div class='total_features'>\n",
|
|||
|
|
" <div class=\"features fitted\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>\n",
|
|||
|
|
" <div class=\"arrow\"></div>\n",
|
|||
|
|
" <div>575 features</div>\n",
|
|||
|
|
" <div class=\"image-container\" title=\"Copy all output features\">\n",
|
|||
|
|
" <i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"\n",
|
|||
|
|
" event.stopPropagation();\n",
|
|||
|
|
" event.preventDefault();\n",
|
|||
|
|
" copyFeatureNamesToClipboard(this);\n",
|
|||
|
|
" \"\n",
|
|||
|
|
" >\n",
|
|||
|
|
" </i>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </summary>\n",
|
|||
|
|
" <div class=\"features-container\">\n",
|
|||
|
|
" <table class=\"features-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>num__male</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>num__isMarried</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>num__isNoble</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>num__age</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>num__numDeadRelations</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>num__popularity</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Acorn Hall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Andals</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Arbor</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Archmaester</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Ashford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Barrowton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Bear Island</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Big BucketThe Wull</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Bitterbridge</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Blackcrown</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Blackmont</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Bloodrider</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Blue Grace</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Brightwater</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Broad Arch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Brother</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Captain</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Captain of the guard</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Captain-General</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Castellan</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_CastellanCommander</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Casterly Rock</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Castle Lychester</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Cerwyn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Cobblecat</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Coldmoat</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Coldwater Burn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Commander of the City Watch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Commander of the Second Sons</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Crag</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Crakehall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Cupbearer</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Darry</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Deepwood Motte</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Dreadfort</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Duskendale</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Dyre Den</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Eastwatch-by-the-Sea</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Eyrie</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Fair Isle</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Feastfires</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Felwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_First Ranger</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_First Sword of Braavos</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Foamdrinker</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Ghost Hill</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Godswife</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Golden Tooth</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Goldengrove</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Goldgrass</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Good Master</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Goodman</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Goodwife</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Grand Maester</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Grassy Vale</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Greenshield</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Greenstone</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Grey Glen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Greywater Watch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Gulltown</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Hand of the King</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Harlaw</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Harrenhal</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Harridan Hill</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Hayford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Haystack Hall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Heart's Home</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_High Septon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_High Steward of Highgarden</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Highgarden</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Hightower</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Horn Hill</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Hornvale</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Hornwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Ironoaks</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Karhold</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Kayce</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Keeper of the Gates of the Moon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Khal</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_KhalKo (formerly)</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Khalakka</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_King</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_King in the North</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_King of Winter</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_King of the Andals</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_King-Beyond-the-Wall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Knight</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Knight of Griffin's Roost</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lady</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lady of Bear Island</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lady of Darry</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lady of Torrhen's Square</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lady of the Vale</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_LadyQueen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_LadyQueenDowager Queen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Last Hearth</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Light of the West</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lonely Light</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Longsister</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Longtable</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord Captain of the Iron Fleet</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord Commander of the Night's Watch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord Paramount of the Mander</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord Paramount of the Trident</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord Reaper of Pyke</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord Seneschal</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord Steward</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of Blackhaven</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of Coldmoat</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of Crows Nest</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of Dragonstone</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of Flint's Finger</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of Greyshield</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of Griffin's Roost</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of Hammerhorn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of Harrenhal</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of Oakenshield</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of Oldcastle</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of Pebbleton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of Starfall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of Sunflower Hall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of the Crossing</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of the Deep Den</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of the Hornwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of the Iron Islands</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of the Marches</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of the Red Dunes</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of the Seven Kingdoms</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of the Snakewood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of the Ten TowersLord Harlaw of HarlawHarlaw of Harlaw</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Lord of the Tides</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Maester</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Magister</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Maidenpool</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Master of Coin</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Master of Deepwood Motte</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Master of Harlaw Hall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Master of coin</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Master of whisperers</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Master-at-Arms</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Mistress of whisperers</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Nightsong</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Oarmaster</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Old Oak</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Old Wyk</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Prince</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Prince of Dorne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Prince of Dragonstone</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Prince of Winterfell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Prince of WinterfellHeir to Winterfell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Prince of the Narrow Sea</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Princess</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_PrincessQueen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_PrincessQueenDowager Queen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Protector of the Realm</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Queen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_QueenDowager Queen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Red Flower Vale</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Redfort</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Rills</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Riverrun</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Rook's Rest</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Ruddy Hall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Runestone</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Salt Shore</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Sandship</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Sealord</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Sealskin Point</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Seneschal</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Septa</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Septon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Ser</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_SerCastellan of Casterly Rock</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Seven Kingdoms</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Sharp Point</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Shatterstone</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Slave of R'hllor</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Starpike</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Steward</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Stokeworth</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Stonehelm</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Storm's End</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Sunspear</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Ten Towers</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_The LiddleLord Liddle</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_The NorreyLord Norrey</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Three Towers</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Tower of Glimmering</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Tradesman-Captain</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Twins</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Uplands</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Volmark</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Warlock</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Whitewalls</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Widow's Watch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Winterfell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Wisdom</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_Wraith</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_[1]</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_green lands</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_master of ships</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_red hand</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_the Crossing</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__title_the Dreadfort</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Andal</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Andals</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Asshai</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Asshai'i</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Astapor</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Astapori</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Braavosi</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Crannogmen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Dorne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Dornish</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Dornishmen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Dothraki</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_First Men</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Free Folk</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Free folk</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Ghiscari</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Ghiscaricari</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Ironborn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Ironmen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Lhazareen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Lhazarene</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Lysene</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Lyseni</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Meereen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Meereenese</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Myrish</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Northern mountain clans</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Northmen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Norvos</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Norvoshi</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Pentoshi</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Qarth</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Qartheen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Qohor</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Reach</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Reachmen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Rhoynar</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Rivermen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Sistermen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Stormlander</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Stormlands</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Summer Islander</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Summer Islands</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Summer Isles</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Tyroshi</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Vale</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Vale mountain clans</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Valemen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Valyrian</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Westerlands</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Westerman</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Westermen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Westeros</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Wildling</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_Wildlings</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_free folk</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_northmen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__culture_westermen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Alchemists' Guild</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Antler Men</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Band of Nine</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Black Ears</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Blacks</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Brave Companions</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Brotherhood Without Banners</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Brotherhood without Banners</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Brotherhood without banners</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Burned Men</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Chataya's brothel</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Citadel</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Company of the Cat</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Drowned men</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Faceless Men</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Faith of the Seven</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Golden Company</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Good Masters</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Happy Port</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Ambrose</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Arryn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Ashford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Baelish</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Ball</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Bar Emmon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Baratheon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Baratheon of Dragonstone</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Baratheon of King's Landing</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Beesbury</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Belmore</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Bettley</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Blackberry</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Blackfyre</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Blackmont</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Blackwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Boggs</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Bolling</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Bolton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Bolton of the Dreadfort</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Botley</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Bracken</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Brax</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Broom</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Brune of Brownhollow</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Brune of the Dyre Den</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Buckler</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Bulwer</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Bushy</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Butterwell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Byrch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Bywater</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Cafferen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Caron</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Cassel</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Caswell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Cerwyn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Charlton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Chelsted</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Chester</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Clegane</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Clifton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Cockshaw</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Codd</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Coldwater</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Condon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Connington</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Corbray</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Costayne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Crabb</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Crakehall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Crane</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Cupps</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Cuy</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Dalt</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Darklyn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Darry</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Dayne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Dayne of High Hermitage</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Deddings</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Dondarrion</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Drumm</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Dustin</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Erenford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Errol</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Estermont</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Farman</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Farring</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Farwynd</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Farwynd of the Lonely Light</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Fell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Flint</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Flint of Widow's Watch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Florent</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Fossoway</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Fossoway of Cider Hall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Fossoway of New Barrel</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Frey</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Frey of Riverrun</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Gargalen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Gaunt</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Glover</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Goodbrook</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Goodbrother</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Goodbrother of Shatterstone</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Graceford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Grafton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Greenfield</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Greenhill</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Grell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Greyjoy</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Grimm</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Haigh</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Harclay</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Hardy</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Hardyng</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Harlaw</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Harlaw of Grey Garden</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Harlaw of Harlaw Hall</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Harlaw of Harridan Hill</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Harlaw of the Tower of Glimmering</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Hasty</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Hawick</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Hayford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Heddle</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Hetherspoon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Hewett</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Hightower</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Hogg</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Hollard</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Hornwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Horpe</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Humble</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Hunt</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Hunter</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Inchfield</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Ironmaker</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Jast</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Jordayne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Karstark</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Kenning of Harlaw</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Kenning of Kayce</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Kettleblack</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Lannister</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Lannister of Casterly Rock</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Lannister of Lannisport</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Leek</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Lefford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Liddle</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Locke</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Longthorpe</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Lorch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Lothston</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Lychester</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Lydden</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Lynderly</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Mallery</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Mallister</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Manderly</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Manwoody</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Marbrand</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Martell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Meadows</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Merlyn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Merryweather</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Mertyns</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Mollen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Moore</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Mooton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Moreland</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Mormont</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Morrigen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Mudd</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Mullendore</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Myre</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Nayland</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Norcross</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Norrey</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Norridge</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Nymeros Martell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Oakheart</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Osgrey</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Paege</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Payne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Peake</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Peckledon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Pemford</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Penny</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Penrose</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Piper</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Plumm</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Poole</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Potter</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Prester</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Qorgyle</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Rambton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Redfort</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Redwyne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Reed</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Reyne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Rhysling</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Risley</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Roote</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Rosby</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Rowan</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Royce</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Royce of the Gates of the Moon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Ruttiger</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Ryger</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Rykker</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Ryswell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Santagar</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Sarsfield</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Seaworth</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Selmy</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Sharp</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Shepherd</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Slynt</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Smallwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Sparr</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Spicer</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Stackspear</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Staedmon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Stark</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Staunton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Stokeworth</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Stonetree</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Stout</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Strickland</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Strong</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Suggs</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Sunglass</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Swann</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Swyft</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Tallhart</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Targaryen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Tarly</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Tarth</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Tawney</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Templeton</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Thorne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Toland</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Tollett</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Toyne</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Tully</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Turnberry</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Tyrell</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Uffering</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Uller</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Umber</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Vaith</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Vance</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Vance of Atranta</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Vance of Wayfarer's Rest</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Varner</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Velaryon</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Vikary</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Volmark</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Vypren</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Vyrwel</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Wagstaff</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Wayn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Waynwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Weaver</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Webber</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Wells</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Westerling</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Whent</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Willum</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Woolfield</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Wull</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Wylde</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Wythers</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Yew</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House Yronwood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House of Galare</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House of Ghazeen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House of Kandaq</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House of Loraq</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House of Pahl</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_House of Reznak</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Iron Bank of Braavos</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Khal</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Kingdom of the Three Daughters</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Kingsguard</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Kingswood Brotherhood</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Maesters</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Mance Rayder</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Moon Brothers</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Night's Watch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Peach</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Pureborn</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Queensguard</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_R'hllor</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Sea watch</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Second Sons</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Stone Crows</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Stormcrows</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Summer Islands</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_The Citadel</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Thirteen</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Three-eyed crow</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Undying Ones</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Unsullied</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Windblown</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_Wise Masters</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <td>cat__house_wildling</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
"\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </div></div><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually sk-global\" id=\"sk-estimator-id-9\" type=\"checkbox\" ><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LogisticRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"model__\">\n",
|
|||
|
|
" <div class=\"estimator-table\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>Parameters</summary>\n",
|
|||
|
|
" <table class=\"parameters-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr class=\"user-set\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('class_weight',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-class_weight;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=class_weight,-dict%20or%20%27balanced%27%2C%20default%3DNone\">\n",
|
|||
|
|
" class_weight\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-class_weight;\">\n",
|
|||
|
|
" class_weight: dict or 'balanced', default=None<br><br>Weights associated with classes in the form ``{class_label: weight}``.<br>If not given, all classes are supposed to have weight one.<br><br>The "balanced" mode uses the values of y to automatically adjust<br>weights inversely proportional to class frequencies in the input data<br>as ``n_samples / (n_classes * np.bincount(y))``.<br><br>Note that these weights will be multiplied with sample_weight (passed<br>through the fit method) if sample_weight is specified.<br><br>.. versionadded:: 0.17<br> *class_weight='balanced'*</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">'balanced'</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"user-set\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('max_iter',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-max_iter;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=max_iter,-int%2C%20default%3D100\">\n",
|
|||
|
|
" max_iter\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-max_iter;\">\n",
|
|||
|
|
" max_iter: int, default=100<br><br>Maximum number of iterations taken for the solvers to converge.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">1000</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('penalty',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-penalty;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=penalty,-%7B%27l1%27%2C%20%27l2%27%2C%20%27elasticnet%27%2C%20None%7D%2C%20default%3D%27l2%27\">\n",
|
|||
|
|
" penalty\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-penalty;\">\n",
|
|||
|
|
" penalty: {'l1', 'l2', 'elasticnet', None}, default='l2'<br><br>Specify the norm of the penalty:<br><br>- `None`: no penalty is added;<br>- `'l2'`: add an L2 penalty term and it is the default choice;<br>- `'l1'`: add an L1 penalty term;<br>- `'elasticnet'`: both L1 and L2 penalty terms are added.<br><br>.. warning::<br> Some penalties may not work with some solvers. See the parameter<br> `solver` below, to know the compatibility between the penalty and<br> solver.<br><br>.. versionadded:: 0.19<br> l1 penalty with SAGA solver (allowing 'multinomial' + L1)<br><br>.. deprecated:: 1.8<br> `penalty` was deprecated in version 1.8 and will be removed in 1.10.<br> Use `l1_ratio` and `C` instead. `l1_ratio=0` for `penalty='l2'`,<br> `l1_ratio=1` for `penalty='l1'`, `l1_ratio` set to any float between 0 and 1<br> for `penalty='elasticnet'`, and `C=np.inf` for `penalty=None`.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">'deprecated'</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('C',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-C;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=C,-float%2C%20default%3D1.0\">\n",
|
|||
|
|
" C\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-C;\">\n",
|
|||
|
|
" C: float, default=1.0<br><br>Inverse of regularization strength; must be a positive float.<br>Like in support vector machines, smaller values specify stronger<br>regularization. `C=np.inf` results in unpenalized logistic regression.<br>For a visual example on the effect of tuning the `C` parameter<br>with an L1 penalty, see:<br>:ref:`sphx_glr_auto_examples_linear_model_plot_logistic_path.py`.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">1.0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('l1_ratio',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-l1_ratio;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=l1_ratio,-float%2C%20default%3D0.0\">\n",
|
|||
|
|
" l1_ratio\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-l1_ratio;\">\n",
|
|||
|
|
" l1_ratio: float, default=0.0<br><br>The Elastic-Net mixing parameter, with `0 <= l1_ratio <= 1`. Setting<br>`l1_ratio=1` gives a pure L1-penalty, setting `l1_ratio=0` a pure L2-penalty.<br>Any value between 0 and 1 gives an Elastic-Net penalty of the form<br>`l1_ratio * L1 + (1 - l1_ratio) * L2`.<br><br>.. warning::<br> Certain values of `l1_ratio`, i.e. some penalties, may not work with some<br> solvers. See the parameter `solver` below, to know the compatibility between<br> the penalty and solver.<br><br>.. versionchanged:: 1.8<br> Default value changed from None to 0.0.<br><br>.. deprecated:: 1.8<br> `None` is deprecated and will be removed in version 1.10. Always use<br> `l1_ratio` to specify the penalty type.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">0.0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('dual',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-dual;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=dual,-bool%2C%20default%3DFalse\">\n",
|
|||
|
|
" dual\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-dual;\">\n",
|
|||
|
|
" dual: bool, default=False<br><br>Dual (constrained) or primal (regularized, see also<br>:ref:`this equation <regularized-logistic-loss>`) formulation. Dual formulation<br>is only implemented for l2 penalty with liblinear solver. Prefer `dual=False`<br>when n_samples > n_features.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">False</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('tol',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-tol;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=tol,-float%2C%20default%3D1e-4\">\n",
|
|||
|
|
" tol\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-tol;\">\n",
|
|||
|
|
" tol: float, default=1e-4<br><br>Tolerance for stopping criteria.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">0.0001</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('fit_intercept',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-fit_intercept;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=fit_intercept,-bool%2C%20default%3DTrue\">\n",
|
|||
|
|
" fit_intercept\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-fit_intercept;\">\n",
|
|||
|
|
" fit_intercept: bool, default=True<br><br>Specifies if a constant (a.k.a. bias or intercept) should be<br>added to the decision function.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">True</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('intercept_scaling',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-intercept_scaling;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=intercept_scaling,-float%2C%20default%3D1\">\n",
|
|||
|
|
" intercept_scaling\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-intercept_scaling;\">\n",
|
|||
|
|
" intercept_scaling: float, default=1<br><br>Useful only when the solver `liblinear` is used<br>and `self.fit_intercept` is set to `True`. In this case, `x` becomes<br>`[x, self.intercept_scaling]`,<br>i.e. a "synthetic" feature with constant value equal to<br>`intercept_scaling` is appended to the instance vector.<br>The intercept becomes<br>``intercept_scaling * synthetic_feature_weight``.<br><br>.. note::<br> The synthetic feature weight is subject to L1 or L2<br> regularization as all other features.<br> To lessen the effect of regularization on synthetic feature weight<br> (and therefore on the intercept) `intercept_scaling` has to be increased.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">1</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('random_state',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-random_state;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=random_state,-int%2C%20RandomState%20instance%2C%20default%3DNone\">\n",
|
|||
|
|
" random_state\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-random_state;\">\n",
|
|||
|
|
" random_state: int, RandomState instance, default=None<br><br>Used when ``solver`` == 'sag', 'saga' or 'liblinear' to shuffle the<br>data. See :term:`Glossary <random_state>` for details.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('solver',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-solver;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=solver,-%7B%27lbfgs%27%2C%20%27liblinear%27%2C%20%27newton-cg%27%2C%20%27newton-cholesky%27%2C%20%27sag%27%2C%20%27saga%27%7D%2C%20%20%20%20%20%20%20%20%20%20%20%20%20default%3D%27lbfgs%27\">\n",
|
|||
|
|
" solver\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-solver;\">\n",
|
|||
|
|
" solver: {'lbfgs', 'liblinear', 'newton-cg', 'newton-cholesky', 'sag', 'saga'}, default='lbfgs'<br><br>Algorithm to use in the optimization problem. Default is 'lbfgs'.<br>To choose a solver, you might want to consider the following aspects:<br><br>- 'lbfgs' is a good default solver because it works reasonably well for a wide<br> class of problems.<br>- For :term:`multiclass` problems (`n_classes >= 3`), all solvers except<br> 'liblinear' minimize the full multinomial loss, 'liblinear' will raise an<br> error.<br>- 'newton-cholesky' is a good choice for<br> `n_samples` >> `n_features * n_classes`, especially with one-hot encoded<br> categorical features with rare categories. Be aware that the memory usage<br> of this solver has a quadratic dependency on `n_features * n_classes`<br> because it explicitly computes the full Hessian matrix.<br>- For small datasets, 'liblinear' is a good choice, whereas 'sag'<br> and 'saga' are faster for large ones;<br>- 'liblinear' can only handle binary classification by default. To apply a<br> one-versus-rest scheme for the multiclass setting one can wrap it with the<br> :class:`~sklearn.multiclass.OneVsRestClassifier`.<br><br>.. warning::<br> The choice of the algorithm depends on the penalty chosen (`l1_ratio=0`<br> for L2-penalty, `l1_ratio=1` for L1-penalty and `0 < l1_ratio < 1` for<br> Elastic-Net) and on (multinomial) multiclass support:<br><br> ================= ======================== ======================<br> solver l1_ratio multinomial multiclass<br> ================= ======================== ======================<br> 'lbfgs' l1_ratio=0 yes<br> 'liblinear' l1_ratio=1 or l1_ratio=0 no<br> 'newton-cg' l1_ratio=0 yes<br> 'newton-cholesky' l1_ratio=0 yes<br> 'sag' l1_ratio=0 yes<br> 'saga' 0<=l1_ratio<=1 yes<br> ================= ======================== ======================<br><br>.. note::<br> 'sag' and 'saga' fast convergence is only guaranteed on features<br> with approximately the same scale. You can preprocess the data with<br> a scaler from :mod:`sklearn.preprocessing`.<br><br>.. seealso::<br> Refer to the :ref:`User Guide <Logistic_regression>` for more<br> information regarding :class:`LogisticRegression` and more specifically the<br> :ref:`Table <logistic_regression_solvers>`<br> summarizing solver/penalty supports.<br><br>.. versionadded:: 0.17<br> Stochastic Average Gradient (SAG) descent solver. Multinomial support in<br> version 0.18.<br>.. versionadded:: 0.19<br> SAGA solver.<br>.. versionchanged:: 0.22<br> The default solver changed from 'liblinear' to 'lbfgs' in 0.22.<br>.. versionadded:: 1.2<br> newton-cholesky solver. Multinomial support in version 1.6.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">'lbfgs'</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('verbose',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-verbose;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=verbose,-int%2C%20default%3D0\">\n",
|
|||
|
|
" verbose\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-verbose;\">\n",
|
|||
|
|
" verbose: int, default=0<br><br>For the liblinear and lbfgs solvers set verbose to any positive<br>number for verbosity.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">0</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('warm_start',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-warm_start;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=warm_start,-bool%2C%20default%3DFalse\">\n",
|
|||
|
|
" warm_start\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-warm_start;\">\n",
|
|||
|
|
" warm_start: bool, default=False<br><br>When set to True, reuse the solution of the previous call to fit as<br>initialization, otherwise, just erase the previous solution.<br>Useless for liblinear solver. See :term:`the Glossary <warm_start>`.<br><br>.. versionadded:: 0.17<br> *warm_start* to support *lbfgs*, *newton-cg*, *sag*, *saga* solvers.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">False</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td><i class=\"copy-paste-icon\"\n",
|
|||
|
|
" onclick=\"copyToClipboard('n_jobs',\n",
|
|||
|
|
" this.parentElement.nextElementSibling)\"\n",
|
|||
|
|
" ></i></td>\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-n_jobs;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=n_jobs,-int%2C%20default%3DNone\">\n",
|
|||
|
|
" n_jobs\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-n_jobs;\">\n",
|
|||
|
|
" n_jobs: int, default=None<br><br>Does not have any effect.<br><br>.. deprecated:: 1.8<br> `n_jobs` is deprecated in version 1.8 and will be removed in 1.10.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"value\">None</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <div class=\"estimator-table\">\n",
|
|||
|
|
" <details>\n",
|
|||
|
|
" <summary>Fitted attributes</summary>\n",
|
|||
|
|
" <table class=\"parameters-table\">\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Name</th>\n",
|
|||
|
|
" <th>Type</th>\n",
|
|||
|
|
" <th>Value</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-classes_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=classes_,-ndarray%20of%20shape%20%28n_classes%2C%20%29\">\n",
|
|||
|
|
" classes_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-classes_;\">\n",
|
|||
|
|
" classes_: ndarray of shape (n_classes, )<br><br>A list of class labels known to the classifier.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">ndarray[int64](2,)</td>\n",
|
|||
|
|
" <td>[0,1]</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-coef_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=coef_,-ndarray%20or%20CSR%20matrix%20of%20shape%20%281%2C%20n_features%29%20or%20%28n_classes%2C%20n_features%29\">\n",
|
|||
|
|
" coef_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-coef_;\">\n",
|
|||
|
|
" coef_: ndarray or CSR matrix of shape (1, n_features) or (n_classes, n_features)<br><br>Coefficients of the features in the decision function.<br><br>`coef_` is of shape (1, n_features) when the given problem is binary.<br><br>By default, it will be created as a dense array, but can be turned to<br>sparse (CSR format) through :meth:`sparsify` (which can be beneficial<br>under L1 regularization when many coefficients are zero), and back to<br>dense through :meth:`densify`.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">ndarray[float64](1, 575)</td>\n",
|
|||
|
|
" <td>[[ 0.37,-0.04, 0.06,...,-0.26,-0.11, 0.73]]</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-intercept_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=intercept_,-ndarray%20of%20shape%20%281%2C%29%20or%20%28n_classes%2C%29\">\n",
|
|||
|
|
" intercept_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-intercept_;\">\n",
|
|||
|
|
" intercept_: ndarray of shape (1,) or (n_classes,)<br><br>Intercept (a.k.a. bias) added to the decision function.<br><br>If `fit_intercept` is set to False, the intercept is set to zero.<br>`intercept_` is of shape (1,) when the given problem is binary.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">ndarray[float64](1,)</td>\n",
|
|||
|
|
" <td>[-0.81]</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-n_features_in_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=n_features_in_,-int\">\n",
|
|||
|
|
" n_features_in_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-n_features_in_;\">\n",
|
|||
|
|
" n_features_in_: int<br><br>Number of features seen during :term:`fit`.<br><br>.. versionadded:: 0.24</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">int</td>\n",
|
|||
|
|
" <td>575</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
"\n",
|
|||
|
|
" <tr class=\"default\">\n",
|
|||
|
|
" <td class=\"param\">\n",
|
|||
|
|
" <a class=\"param-doc-link\"\n",
|
|||
|
|
" style=\"anchor-name: --doc-link-n_iter_;\"\n",
|
|||
|
|
" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.9/modules/generated/sklearn.linear_model.LogisticRegression.html#:~:text=n_iter_,-ndarray%20of%20shape%20%281%2C%20%29\">\n",
|
|||
|
|
" n_iter_\n",
|
|||
|
|
" <span class=\"param-doc-description\"\n",
|
|||
|
|
" style=\"position-anchor: --doc-link-n_iter_;\">\n",
|
|||
|
|
" n_iter_: ndarray of shape (1, )<br><br>Actual number of iterations for all classes.<br><br>.. versionchanged:: 0.20<br><br> In SciPy <= 1.0.0 the number of lbfgs iterations may exceed<br> ``max_iter``. ``n_iter_`` will now report at most ``max_iter``.</span>\n",
|
|||
|
|
" </a>\n",
|
|||
|
|
" </td>\n",
|
|||
|
|
" <td class=\"fitted-att-type\">ndarray[int32](1,)</td>\n",
|
|||
|
|
" <td>[58]</td>\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" \n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
" </table>\n",
|
|||
|
|
" </details>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
" </div></div></div></div></div></div></div><script>/* Authors: The scikit-learn developers\n",
|
|||
|
|
" SPDX-License-Identifier: BSD-3-Clause\n",
|
|||
|
|
"*/\n",
|
|||
|
|
"\n",
|
|||
|
|
"function copyToClipboard(text, element) {\n",
|
|||
|
|
" // Get the parameter prefix from the closest toggleable content\n",
|
|||
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|||
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|||
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
|
|||
|
|
"\n",
|
|||
|
|
" const originalStyle = element.style;\n",
|
|||
|
|
" const computedStyle = window.getComputedStyle(element);\n",
|
|||
|
|
" const originalWidth = computedStyle.width;\n",
|
|||
|
|
" const originalHTML = element.innerHTML.replace('Copied!', '');\n",
|
|||
|
|
"\n",
|
|||
|
|
" navigator.clipboard.writeText(fullParamName)\n",
|
|||
|
|
" .then(() => {\n",
|
|||
|
|
" element.style.width = originalWidth;\n",
|
|||
|
|
" element.style.color = 'green';\n",
|
|||
|
|
" element.innerHTML = \"Copied!\";\n",
|
|||
|
|
"\n",
|
|||
|
|
" setTimeout(() => {\n",
|
|||
|
|
" element.innerHTML = originalHTML;\n",
|
|||
|
|
" element.style = originalStyle;\n",
|
|||
|
|
" }, 2000);\n",
|
|||
|
|
" })\n",
|
|||
|
|
" .catch(err => {\n",
|
|||
|
|
" console.error('Failed to copy:', err);\n",
|
|||
|
|
" element.style.color = 'red';\n",
|
|||
|
|
" element.innerHTML = \"Failed!\";\n",
|
|||
|
|
" setTimeout(() => {\n",
|
|||
|
|
" element.innerHTML = originalHTML;\n",
|
|||
|
|
" element.style = originalStyle;\n",
|
|||
|
|
" }, 2000);\n",
|
|||
|
|
" });\n",
|
|||
|
|
" return false;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"document.querySelectorAll('.copy-paste-icon').forEach(function(element) {\n",
|
|||
|
|
" const toggleableContent = element.closest('.sk-toggleable__content');\n",
|
|||
|
|
" const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
|
|||
|
|
"\n",
|
|||
|
|
" const parent = element.parentElement;\n",
|
|||
|
|
" if (!parent || !parent.nextElementSibling) {\n",
|
|||
|
|
" console.warn('Expected copy-paste icon is missing from the DOM structure');\n",
|
|||
|
|
" return;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" const paramName = element.parentElement.nextElementSibling\n",
|
|||
|
|
" .textContent.trim().split(' ')[0];\n",
|
|||
|
|
" const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
|
|||
|
|
"\n",
|
|||
|
|
" element.setAttribute('title', fullParamName);\n",
|
|||
|
|
"});\n",
|
|||
|
|
"\n",
|
|||
|
|
"/**\n",
|
|||
|
|
" * Copy the list of feature names formatted as a Python list.\n",
|
|||
|
|
" *\n",
|
|||
|
|
" * @param {HTMLElement} element - The copy button inside a `.features` block; its siblings\n",
|
|||
|
|
" * contain a `details` element and a table containing feature named.\n",
|
|||
|
|
" * @returns {boolean} Always returns `false` so callers can prevent the default click behavior.\n",
|
|||
|
|
" */\n",
|
|||
|
|
"function copyFeatureNamesToClipboard(element) {\n",
|
|||
|
|
" var detailsElem = element.closest('.features').querySelector('details');\n",
|
|||
|
|
" var wasOpen = detailsElem.open;\n",
|
|||
|
|
" detailsElem.open = true;\n",
|
|||
|
|
" var content = element.closest('.features').querySelector('tbody')\n",
|
|||
|
|
" .innerText.trim();\n",
|
|||
|
|
" if (!wasOpen) detailsElem.open = false;\n",
|
|||
|
|
" const rows = content.split('\\n').map(row => ` \"${row}\"`);\n",
|
|||
|
|
" const formattedText = `[\\n${rows.join(',\\n')},\\n]`;\n",
|
|||
|
|
" const originalHTML = element.innerHTML.replace('вњ”', '');\n",
|
|||
|
|
" const originalStyle = element.style;\n",
|
|||
|
|
" const copyMark = document.createElement('span');\n",
|
|||
|
|
" copyMark.innerHTML = 'вњ”';\n",
|
|||
|
|
" copyMark.style.color = 'blue';\n",
|
|||
|
|
" copyMark.style.fontSize = '1em';\n",
|
|||
|
|
"\n",
|
|||
|
|
" navigator.clipboard.writeText(formattedText)\n",
|
|||
|
|
" .then(() => {\n",
|
|||
|
|
" element.style.display = 'none';\n",
|
|||
|
|
" element.parentElement.appendChild(copyMark);\n",
|
|||
|
|
"\n",
|
|||
|
|
" setTimeout(() => {\n",
|
|||
|
|
" copyMark.remove();\n",
|
|||
|
|
" element.innerHTML = originalHTML;\n",
|
|||
|
|
" element.style = originalStyle;\n",
|
|||
|
|
" }, 1000);\n",
|
|||
|
|
" })\n",
|
|||
|
|
" .catch(err => {\n",
|
|||
|
|
" console.error('Failed to copy:', err);\n",
|
|||
|
|
" element.style.color = 'orange';\n",
|
|||
|
|
" element.innerHTML = \"Failed!\";\n",
|
|||
|
|
" setTimeout(() => {\n",
|
|||
|
|
" element.innerHTML = originalHTML;\n",
|
|||
|
|
" element.style = originalStyle;\n",
|
|||
|
|
" }, 1000);\n",
|
|||
|
|
" });\n",
|
|||
|
|
" return false;\n",
|
|||
|
|
"}\n",
|
|||
|
|
"/**\n",
|
|||
|
|
" * Adapted from Skrub\n",
|
|||
|
|
" * https://github.com/skrub-data/skrub/blob/403466d1d5d4dc76a7ef569b3f8228db59a31dc3/skrub/_reporting/_data/templates/report.js#L789\n",
|
|||
|
|
" * @returns \"light\" or \"dark\"\n",
|
|||
|
|
" */\n",
|
|||
|
|
"function detectTheme(element) {\n",
|
|||
|
|
" const body = document.querySelector('body');\n",
|
|||
|
|
"\n",
|
|||
|
|
" // Check VSCode theme\n",
|
|||
|
|
" const themeKindAttr = body.getAttribute('data-vscode-theme-kind');\n",
|
|||
|
|
" const themeNameAttr = body.getAttribute('data-vscode-theme-name');\n",
|
|||
|
|
"\n",
|
|||
|
|
" if (themeKindAttr && themeNameAttr) {\n",
|
|||
|
|
" const themeKind = themeKindAttr.toLowerCase();\n",
|
|||
|
|
" const themeName = themeNameAttr.toLowerCase();\n",
|
|||
|
|
"\n",
|
|||
|
|
" if (themeKind.includes(\"dark\") || themeName.includes(\"dark\")) {\n",
|
|||
|
|
" return \"dark\";\n",
|
|||
|
|
" }\n",
|
|||
|
|
" if (themeKind.includes(\"light\") || themeName.includes(\"light\")) {\n",
|
|||
|
|
" return \"light\";\n",
|
|||
|
|
" }\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" // Check Jupyter theme\n",
|
|||
|
|
" if (body.getAttribute('data-jp-theme-light') === 'false') {\n",
|
|||
|
|
" return 'dark';\n",
|
|||
|
|
" } else if (body.getAttribute('data-jp-theme-light') === 'true') {\n",
|
|||
|
|
" return 'light';\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" // Guess based on a parent element's color\n",
|
|||
|
|
" const color = window.getComputedStyle(element.parentNode, null).getPropertyValue('color');\n",
|
|||
|
|
" const match = color.match(/^rgb\\s*\\(\\s*(\\d+)\\s*,\\s*(\\d+)\\s*,\\s*(\\d+)\\s*\\)\\s*$/i);\n",
|
|||
|
|
" if (match) {\n",
|
|||
|
|
" const [r, g, b] = [\n",
|
|||
|
|
" parseFloat(match[1]),\n",
|
|||
|
|
" parseFloat(match[2]),\n",
|
|||
|
|
" parseFloat(match[3])\n",
|
|||
|
|
" ];\n",
|
|||
|
|
"\n",
|
|||
|
|
" // https://en.wikipedia.org/wiki/HSL_and_HSV#Lightness\n",
|
|||
|
|
" const luma = 0.299 * r + 0.587 * g + 0.114 * b;\n",
|
|||
|
|
"\n",
|
|||
|
|
" if (luma > 180) {\n",
|
|||
|
|
" // If the text is very bright we have a dark theme\n",
|
|||
|
|
" return 'dark';\n",
|
|||
|
|
" }\n",
|
|||
|
|
" if (luma < 75) {\n",
|
|||
|
|
" // If the text is very dark we have a light theme\n",
|
|||
|
|
" return 'light';\n",
|
|||
|
|
" }\n",
|
|||
|
|
" // Otherwise fall back to the next heuristic.\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" // Fallback to system preference\n",
|
|||
|
|
" return window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light';\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"function forceTheme(elementId) {\n",
|
|||
|
|
" const estimatorElement = document.querySelector(`#${elementId}`);\n",
|
|||
|
|
" if (estimatorElement === null) {\n",
|
|||
|
|
" console.error(`Element with id ${elementId} not found.`);\n",
|
|||
|
|
" } else {\n",
|
|||
|
|
" const theme = detectTheme(estimatorElement);\n",
|
|||
|
|
" estimatorElement.classList.add(theme);\n",
|
|||
|
|
" }\n",
|
|||
|
|
"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"forceTheme('sk-container-id-1');</script></body>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
"Pipeline(steps=[('preprocessor',\n",
|
|||
|
|
" ColumnTransformer(transformers=[('num',\n",
|
|||
|
|
" Pipeline(steps=[('imputer',\n",
|
|||
|
|
" SimpleImputer(strategy='median')),\n",
|
|||
|
|
" ('scaler',\n",
|
|||
|
|
" StandardScaler())]),\n",
|
|||
|
|
" Index(['male', 'isMarried', 'isNoble', 'age', 'numDeadRelations',\n",
|
|||
|
|
" 'popularity'],\n",
|
|||
|
|
" dtype='str')),\n",
|
|||
|
|
" ('cat',\n",
|
|||
|
|
" Pipeline(steps=[('imputer',\n",
|
|||
|
|
" SimpleImputer(strategy='most_frequent')),\n",
|
|||
|
|
" ('onehot',\n",
|
|||
|
|
" OneHotEncoder(handle_unknown='ignore'))]),\n",
|
|||
|
|
" Index(['title', 'culture', 'house'], dtype='str'))])),\n",
|
|||
|
|
" ('model',\n",
|
|||
|
|
" LogisticRegression(class_weight='balanced', max_iter=1000))])"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 29,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"logreg.fit(X_train, y_train)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 30,
|
|||
|
|
"id": "f939feca",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"logreg_pred = logreg.predict(X_test)\n",
|
|||
|
|
"\n",
|
|||
|
|
"logreg_prob = logreg.predict_proba(X_test)[:, 1]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 31,
|
|||
|
|
"id": "04bf6c8a",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 800x500 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(8, 5))\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.hist(\n",
|
|||
|
|
" logreg_prob[y_test.values == 0],\n",
|
|||
|
|
" bins=20,\n",
|
|||
|
|
" alpha=0.6,\n",
|
|||
|
|
" label=\"Живы\"\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.hist(\n",
|
|||
|
|
" logreg_prob[y_test.values == 1],\n",
|
|||
|
|
" bins=20,\n",
|
|||
|
|
" alpha=0.6,\n",
|
|||
|
|
" label=\"Мертвы\"\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.xlabel(\"Предсказанная вероятность смерти\")\n",
|
|||
|
|
"plt.ylabel(\"Количество персонажей\")\n",
|
|||
|
|
"plt.title(\"Распределение предсказанных вероятностей\")\n",
|
|||
|
|
"plt.legend()\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 32,
|
|||
|
|
"id": "ad2fe0a4",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 2 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"from sklearn.metrics import ConfusionMatrixDisplay\n",
|
|||
|
|
"\n",
|
|||
|
|
"ConfusionMatrixDisplay.from_predictions(\n",
|
|||
|
|
" y_test,\n",
|
|||
|
|
" logreg_pred,\n",
|
|||
|
|
" display_labels=[\"Жив\", \"Мёртв\"]\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.title(\"Матрица ошибок Logistic Regression\")\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "49f3bc2e",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Dummy baseline\n",
|
|||
|
|
"\n",
|
|||
|
|
"Сначала построим простую базовую модель, с которой будем сравнивать обученные алгоритмы. "
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 33,
|
|||
|
|
"id": "f5e66dcd",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"from sklearn.dummy import DummyClassifier\n",
|
|||
|
|
"\n",
|
|||
|
|
"dummy = DummyClassifier(strategy='prior')\n",
|
|||
|
|
"dummy.fit(X_train, y_train)\n",
|
|||
|
|
"\n",
|
|||
|
|
"dummy_pred = dummy.predict(X_test)\n",
|
|||
|
|
"dummy_prob = dummy.predict_proba(X_test)[:, 1]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "7cd11b6a",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Random Forest\n",
|
|||
|
|
"\n",
|
|||
|
|
"Используем 300 деревьев и балансировку классов, а предобработку оставим той же, чтобы корректно работать с пропусками и категориями."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 34,
|
|||
|
|
"id": "728667ef",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"from sklearn.ensemble import RandomForestClassifier\n",
|
|||
|
|
"\n",
|
|||
|
|
"rf = Pipeline([\n",
|
|||
|
|
" ('preprocessor', preprocessor),\n",
|
|||
|
|
" ('model', RandomForestClassifier(n_estimators=300, random_state=42, class_weight='balanced'))\n",
|
|||
|
|
"])\n",
|
|||
|
|
"\n",
|
|||
|
|
"rf.fit(X_train, y_train)\n",
|
|||
|
|
"\n",
|
|||
|
|
"rf_pred = rf.predict(X_test)\n",
|
|||
|
|
"rf_prob = rf.predict_proba(X_test)[:, 1]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "051934c6",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"# Сравнение моделей\n",
|
|||
|
|
"\n",
|
|||
|
|
"Создадим общую функцию расчёта метрик, чтобы оценивать все модели одинаково. "
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 35,
|
|||
|
|
"id": "2ba36a02",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"from sklearn.metrics import (\n",
|
|||
|
|
" accuracy_score,\n",
|
|||
|
|
" precision_score,\n",
|
|||
|
|
" recall_score,\n",
|
|||
|
|
" f1_score,\n",
|
|||
|
|
" roc_auc_score\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"def calculate_metrics(y_true, y_pred, y_prob):\n",
|
|||
|
|
" accuracy = accuracy_score(y_true, y_pred)\n",
|
|||
|
|
" precision = precision_score(y_true, y_pred)\n",
|
|||
|
|
" recall = recall_score(y_true, y_pred)\n",
|
|||
|
|
" f1 = f1_score(y_true, y_pred)\n",
|
|||
|
|
" roc_auc = roc_auc_score(y_true, y_prob)\n",
|
|||
|
|
"\n",
|
|||
|
|
" return {\n",
|
|||
|
|
" \"accuracy\": accuracy,\n",
|
|||
|
|
" \"precision\": precision,\n",
|
|||
|
|
" \"recall\": recall,\n",
|
|||
|
|
" \"f1\": f1,\n",
|
|||
|
|
" \"roc_auc\": roc_auc\n",
|
|||
|
|
" }"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 36,
|
|||
|
|
"id": "b3effb72",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stderr",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"c:\\Users\\Masha\\AppData\\Local\\Programs\\Python\\Python313\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1879: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
|
|||
|
|
" _warn_prf(average, modifier, f\"{metric.capitalize()} is\", result.shape[0])\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"dummy_metrics = calculate_metrics(y_test, dummy_pred, dummy_prob)\n",
|
|||
|
|
"logreg_metrics = calculate_metrics(y_test, logreg_pred, logreg_prob)\n",
|
|||
|
|
"rf_metrics = calculate_metrics(y_test, rf_pred, rf_prob)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 38,
|
|||
|
|
"id": "e0278d44",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe thead th {\n",
|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>accuracy</th>\n",
|
|||
|
|
" <th>precision</th>\n",
|
|||
|
|
" <th>recall</th>\n",
|
|||
|
|
" <th>f1</th>\n",
|
|||
|
|
" <th>roc_auc</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Dummy</th>\n",
|
|||
|
|
" <td>0.745</td>\n",
|
|||
|
|
" <td>0.000</td>\n",
|
|||
|
|
" <td>0.000</td>\n",
|
|||
|
|
" <td>0.000</td>\n",
|
|||
|
|
" <td>0.500</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Logistic Regression</th>\n",
|
|||
|
|
" <td>0.682</td>\n",
|
|||
|
|
" <td>0.410</td>\n",
|
|||
|
|
" <td>0.573</td>\n",
|
|||
|
|
" <td>0.478</td>\n",
|
|||
|
|
" <td>0.706</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>Random Forest</th>\n",
|
|||
|
|
" <td>0.717</td>\n",
|
|||
|
|
" <td>0.452</td>\n",
|
|||
|
|
" <td>0.532</td>\n",
|
|||
|
|
" <td>0.489</td>\n",
|
|||
|
|
" <td>0.739</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" accuracy precision recall f1 roc_auc\n",
|
|||
|
|
"Dummy 0.745 0.000 0.000 0.000 0.500\n",
|
|||
|
|
"Logistic Regression 0.682 0.410 0.573 0.478 0.706\n",
|
|||
|
|
"Random Forest 0.717 0.452 0.532 0.489 0.739"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 38,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"results_table = pd.DataFrame([dummy_metrics, logreg_metrics, rf_metrics], index=['Dummy', 'Logistic Regression', 'Random Forest'])\n",
|
|||
|
|
"\n",
|
|||
|
|
"results_table.round(3)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "ea217d90",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Dummy показывает высокую accuracy (0.745), потому что всегда выбирает преобладающий класс «жив», но не находит ни одной смерти: recall и F1 равны нулю, ROC AUC — 0.5. Случайный лес даёт лучший ROC AUC (0.739) и F1 (0.489), а логистическая регрессия немного лучше находит умерших по recall (0.573 против 0.532). В целом случайный лес выглядит сильнее."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "3cb45f12",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Матрица ошибок покажет, на каких классах случайный лес ошибается чаще и какие ошибки скрываются за общими значениями метрик."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 39,
|
|||
|
|
"id": "bb67ca77",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 640x480 with 2 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"from sklearn.metrics import ConfusionMatrixDisplay\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"ConfusionMatrixDisplay.from_predictions(\n",
|
|||
|
|
" y_test,\n",
|
|||
|
|
" rf_pred,\n",
|
|||
|
|
" display_labels=[\"Жив\", \"Мёртв\"]\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.title(\"Матрица ошибок Random Forest\")\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "905fc6a1",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Далее сравним модели по ROC-кривым."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 41,
|
|||
|
|
"id": "4feceec3",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 800x500 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"from sklearn.metrics import RocCurveDisplay\n",
|
|||
|
|
"\n",
|
|||
|
|
"fig, ax = plt.subplots(figsize=(8, 5))\n",
|
|||
|
|
"\n",
|
|||
|
|
"RocCurveDisplay.from_predictions(\n",
|
|||
|
|
" y_test,\n",
|
|||
|
|
" logreg_prob,\n",
|
|||
|
|
" name=\"Logistic Regression\",\n",
|
|||
|
|
" ax=ax\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"RocCurveDisplay.from_predictions(\n",
|
|||
|
|
" y_test,\n",
|
|||
|
|
" rf_prob,\n",
|
|||
|
|
" name=\"Random Forest\",\n",
|
|||
|
|
" ax=ax\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.title(\"ROC-кривая\")\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "d6fa1c37",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"ROC-кривая подтверждает небольшое преимущество случайного леса: его AUC выше, поэтому он в среднем лучше ранжирует персонажей по риску смерти. Теперь посмотрим, насколько сильно перекрываются вероятности для реально живых и умерших персонажей."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 42,
|
|||
|
|
"id": "5785b642",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 800x500 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"plt.figure(figsize=(8, 5))\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.hist(\n",
|
|||
|
|
" rf_prob[y_test.values == 0],\n",
|
|||
|
|
" bins=20,\n",
|
|||
|
|
" alpha=0.6,\n",
|
|||
|
|
" label=\"Живы\"\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.hist(\n",
|
|||
|
|
" rf_prob[y_test.values == 1],\n",
|
|||
|
|
" bins=20,\n",
|
|||
|
|
" alpha=0.6,\n",
|
|||
|
|
" label=\"Мертвы\"\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.xlabel(\"Предсказанная вероятность смерти\")\n",
|
|||
|
|
"plt.ylabel(\"Количество персонажей\")\n",
|
|||
|
|
"plt.title(\"Распределение предсказанных вероятностей\")\n",
|
|||
|
|
"plt.legend()\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "420ab5e8",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"У умерших персонажей вероятности в среднем выше, но распределения заметно пересекаются. Это объясняет одновременно умеренный ROC AUC и наличие как пропущенных смертей, так и ложных тревог. Свяжем прогнозы с именами, чтобы посмотреть на конкретные примеры."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 46,
|
|||
|
|
"id": "7b4089fc",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
" name actual_death predicted_death predicted_prob\n",
|
|||
|
|
"684 Lancel V Lannister 0 1 1.000000\n",
|
|||
|
|
"251 Wallen 1 1 1.000000\n",
|
|||
|
|
"281 Aegon II Targaryen 1 1 1.000000\n",
|
|||
|
|
"282 Aegon IV Targaryen 1 1 1.000000\n",
|
|||
|
|
"1077 Hake 1 1 0.998667\n",
|
|||
|
|
"531 Gelmarr 1 1 0.996667\n",
|
|||
|
|
"289 Aenys I Targaryen 1 1 0.994074\n",
|
|||
|
|
"1648 Baelor I Targaryen 1 1 0.993333\n",
|
|||
|
|
"1479 Chett 1 1 0.980000\n",
|
|||
|
|
"1618 Aegon Blackfyre 1 1 0.976667\n",
|
|||
|
|
"831 Ormund Wylde 0 1 0.966667\n",
|
|||
|
|
"1590 Otto Hightower 1 1 0.960000\n",
|
|||
|
|
"25 Willow Witch-eye 1 1 0.949222\n",
|
|||
|
|
"1533 Kurleket 1 1 0.940000\n",
|
|||
|
|
"477 Duncan Targaryen 1 1 0.933333\n",
|
|||
|
|
" name actual_death predicted_death \\\n",
|
|||
|
|
"1138 Jorah Stark 0 0 \n",
|
|||
|
|
"137 S'vrone 0 0 \n",
|
|||
|
|
"1223 Megga Tyrell 0 0 \n",
|
|||
|
|
"1006 Edderion Stark 0 0 \n",
|
|||
|
|
"1218 Mathis Frey 0 0 \n",
|
|||
|
|
"804 Narbo 0 0 \n",
|
|||
|
|
"1343 Ryella Frey 0 0 \n",
|
|||
|
|
"23 Willum 0 0 \n",
|
|||
|
|
"242 Walda Frey (daughter of Edwyn) 0 0 \n",
|
|||
|
|
"816 Ocley 0 0 \n",
|
|||
|
|
"518 Gallard 0 0 \n",
|
|||
|
|
"14 Will (Treb) 0 0 \n",
|
|||
|
|
"855 Poetess 0 0 \n",
|
|||
|
|
"241 Walda Frey (daughter of Lothar) 0 0 \n",
|
|||
|
|
"583 Harodon 0 0 \n",
|
|||
|
|
"\n",
|
|||
|
|
" predicted_prob \n",
|
|||
|
|
"1138 0.003333 \n",
|
|||
|
|
"137 0.003333 \n",
|
|||
|
|
"1223 0.003333 \n",
|
|||
|
|
"1006 0.003333 \n",
|
|||
|
|
"1218 0.000000 \n",
|
|||
|
|
"804 0.000000 \n",
|
|||
|
|
"1343 0.000000 \n",
|
|||
|
|
"23 0.000000 \n",
|
|||
|
|
"242 0.000000 \n",
|
|||
|
|
"816 0.000000 \n",
|
|||
|
|
"518 0.000000 \n",
|
|||
|
|
"14 0.000000 \n",
|
|||
|
|
"855 0.000000 \n",
|
|||
|
|
"241 0.000000 \n",
|
|||
|
|
"583 0.000000 \n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"predictions = df.loc[\n",
|
|||
|
|
" X_test.index,\n",
|
|||
|
|
" [\"name\"]\n",
|
|||
|
|
"].copy()\n",
|
|||
|
|
"\n",
|
|||
|
|
"predictions['actual_death'] = y_test\n",
|
|||
|
|
"predictions['predicted_death'] = rf_pred\n",
|
|||
|
|
"predictions['predicted_prob'] = rf_prob\n",
|
|||
|
|
"\n",
|
|||
|
|
"print(predictions.sort_values('predicted_prob', ascending=False).head(15))\n",
|
|||
|
|
"print(predictions.sort_values('predicted_prob', ascending=False).tail(15))"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "78d3a914",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Среди персонажей с максимальным риском большинство действительно умерли, а в нижней части списка находятся живые персонажи. При этом встречаются и уверенные ошибки — например, Ланселю V Ланнистеру модель присвоила вероятность смерти 1.0, хотя фактический класс равен 0. Следующий график компактно показывает персонажей с самым высоким прогнозируемым риском."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 49,
|
|||
|
|
"id": "f1c58eb5",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 900x600 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"top_risk = predictions.sort_values('predicted_prob', ascending=False).head(15).sort_values('predicted_prob', ascending=True)\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.figure(figsize=(9, 6))\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.barh(top_risk['name'], top_risk['predicted_prob'])\n",
|
|||
|
|
"plt.title(\"Топ-15 персонажей с наибольшей вероятностью смерти\")\n",
|
|||
|
|
"plt.xlabel(\"Предсказанная вероятность смерти\")\n",
|
|||
|
|
"plt.ylabel(\"Персонажи\")\n",
|
|||
|
|
"\n",
|
|||
|
|
"plt.show()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "b308e75c",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Чтобы понять, на какие данные чаще опирается случайный лес, сопоставим признаки после one-hot encoding с рассчитанными моделью значениями важности. "
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 50,
|
|||
|
|
"id": "c61dd7d9",
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"text/html": [
|
|||
|
|
"<div>\n",
|
|||
|
|
"<style scoped>\n",
|
|||
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|||
|
|
" vertical-align: middle;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe tbody tr th {\n",
|
|||
|
|
" vertical-align: top;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"\n",
|
|||
|
|
" .dataframe thead th {\n",
|
|||
|
|
" text-align: right;\n",
|
|||
|
|
" }\n",
|
|||
|
|
"</style>\n",
|
|||
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|||
|
|
" <thead>\n",
|
|||
|
|
" <tr style=\"text-align: right;\">\n",
|
|||
|
|
" <th></th>\n",
|
|||
|
|
" <th>feature</th>\n",
|
|||
|
|
" <th>importance</th>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </thead>\n",
|
|||
|
|
" <tbody>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>5</th>\n",
|
|||
|
|
" <td>num__popularity</td>\n",
|
|||
|
|
" <td>0.235495</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>3</th>\n",
|
|||
|
|
" <td>num__age</td>\n",
|
|||
|
|
" <td>0.078788</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>0</th>\n",
|
|||
|
|
" <td>num__male</td>\n",
|
|||
|
|
" <td>0.036648</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>4</th>\n",
|
|||
|
|
" <td>num__numDeadRelations</td>\n",
|
|||
|
|
" <td>0.027229</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>2</th>\n",
|
|||
|
|
" <td>num__isNoble</td>\n",
|
|||
|
|
" <td>0.019680</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>1</th>\n",
|
|||
|
|
" <td>num__isMarried</td>\n",
|
|||
|
|
" <td>0.019098</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>557</th>\n",
|
|||
|
|
" <td>cat__house_Night's Watch</td>\n",
|
|||
|
|
" <td>0.019004</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>238</th>\n",
|
|||
|
|
" <td>cat__culture_Northmen</td>\n",
|
|||
|
|
" <td>0.015390</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>259</th>\n",
|
|||
|
|
" <td>cat__culture_Valyrian</td>\n",
|
|||
|
|
" <td>0.015194</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>178</th>\n",
|
|||
|
|
" <td>cat__title_Ser</td>\n",
|
|||
|
|
" <td>0.015119</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>365</th>\n",
|
|||
|
|
" <td>cat__house_House Frey</td>\n",
|
|||
|
|
" <td>0.013497</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>228</th>\n",
|
|||
|
|
" <td>cat__culture_Ironborn</td>\n",
|
|||
|
|
" <td>0.012538</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>503</th>\n",
|
|||
|
|
" <td>cat__house_House Targaryen</td>\n",
|
|||
|
|
" <td>0.011185</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>378</th>\n",
|
|||
|
|
" <td>cat__house_House Greyjoy</td>\n",
|
|||
|
|
" <td>0.010847</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>491</th>\n",
|
|||
|
|
" <td>cat__house_House Stark</td>\n",
|
|||
|
|
" <td>0.008368</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>512</th>\n",
|
|||
|
|
" <td>cat__house_House Tully</td>\n",
|
|||
|
|
" <td>0.007329</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>217</th>\n",
|
|||
|
|
" <td>cat__culture_Braavosi</td>\n",
|
|||
|
|
" <td>0.007228</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>309</th>\n",
|
|||
|
|
" <td>cat__house_House Bracken</td>\n",
|
|||
|
|
" <td>0.006728</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>411</th>\n",
|
|||
|
|
" <td>cat__house_House Lannister</td>\n",
|
|||
|
|
" <td>0.006711</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" <tr>\n",
|
|||
|
|
" <th>514</th>\n",
|
|||
|
|
" <td>cat__house_House Tyrell</td>\n",
|
|||
|
|
" <td>0.006562</td>\n",
|
|||
|
|
" </tr>\n",
|
|||
|
|
" </tbody>\n",
|
|||
|
|
"</table>\n",
|
|||
|
|
"</div>"
|
|||
|
|
],
|
|||
|
|
"text/plain": [
|
|||
|
|
" feature importance\n",
|
|||
|
|
"5 num__popularity 0.235495\n",
|
|||
|
|
"3 num__age 0.078788\n",
|
|||
|
|
"0 num__male 0.036648\n",
|
|||
|
|
"4 num__numDeadRelations 0.027229\n",
|
|||
|
|
"2 num__isNoble 0.019680\n",
|
|||
|
|
"1 num__isMarried 0.019098\n",
|
|||
|
|
"557 cat__house_Night's Watch 0.019004\n",
|
|||
|
|
"238 cat__culture_Northmen 0.015390\n",
|
|||
|
|
"259 cat__culture_Valyrian 0.015194\n",
|
|||
|
|
"178 cat__title_Ser 0.015119\n",
|
|||
|
|
"365 cat__house_House Frey 0.013497\n",
|
|||
|
|
"228 cat__culture_Ironborn 0.012538\n",
|
|||
|
|
"503 cat__house_House Targaryen 0.011185\n",
|
|||
|
|
"378 cat__house_House Greyjoy 0.010847\n",
|
|||
|
|
"491 cat__house_House Stark 0.008368\n",
|
|||
|
|
"512 cat__house_House Tully 0.007329\n",
|
|||
|
|
"217 cat__culture_Braavosi 0.007228\n",
|
|||
|
|
"309 cat__house_House Bracken 0.006728\n",
|
|||
|
|
"411 cat__house_House Lannister 0.006711\n",
|
|||
|
|
"514 cat__house_House Tyrell 0.006562"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 50,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"feature_names = (\n",
|
|||
|
|
" rf\n",
|
|||
|
|
" .named_steps[\"preprocessor\"]\n",
|
|||
|
|
" .get_feature_names_out()\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"feature_importances = (\n",
|
|||
|
|
" rf\n",
|
|||
|
|
" .named_steps[\"model\"]\n",
|
|||
|
|
" .feature_importances_\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"importance_df = pd.DataFrame({\n",
|
|||
|
|
" \"feature\": feature_names,\n",
|
|||
|
|
" \"importance\": feature_importances\n",
|
|||
|
|
"}).sort_values(\n",
|
|||
|
|
" \"importance\",\n",
|
|||
|
|
" ascending=False\n",
|
|||
|
|
")\n",
|
|||
|
|
"\n",
|
|||
|
|
"importance_df.head(20)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"id": "2fd65c81",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Самым важным признаком с большим отрывом стала популярность персонажа, далее идут возраст, пол и количество погибших родственников. Среди категорий выделяются принадлежность к Ночному Дозору и некоторые культуры и дома. Результат согласуется с EDA."
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"metadata": {
|
|||
|
|
"kernelspec": {
|
|||
|
|
"display_name": "Python 3",
|
|||
|
|
"language": "python",
|
|||
|
|
"name": "python3"
|
|||
|
|
},
|
|||
|
|
"language_info": {
|
|||
|
|
"codemirror_mode": {
|
|||
|
|
"name": "ipython",
|
|||
|
|
"version": 3
|
|||
|
|
},
|
|||
|
|
"file_extension": ".py",
|
|||
|
|
"mimetype": "text/x-python",
|
|||
|
|
"name": "python",
|
|||
|
|
"nbconvert_exporter": "python",
|
|||
|
|
"pygments_lexer": "ipython3",
|
|||
|
|
"version": "3.13.2"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"nbformat": 4,
|
|||
|
|
"nbformat_minor": 5
|
|||
|
|
}
|