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Jupyter Notebook for "A tutorial on Scikit-Learn Pipeline, ColumnTransformer, and FeatureUnion"
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{
"cells": [
{
"cell_type": "markdown",
"id": "765815d1",
"metadata": {},
"source": [
"# A tutorial on Scikit-Learn Pipeline, ColumnTransformer, and FeatureUnion"
]
},
{
"cell_type": "markdown",
"id": "a9c51633",
"metadata": {},
"source": [
"Tutorial Page:\n",
"http://www.sefidian.com/2022/05/30/a-tutorial-on-scikit-learn-pipeline-columntransformer-and-featureunion/"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "830c5ea0",
"metadata": {},
"outputs": [
{
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"<div>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>total_bill</th>\n",
" <th>smoker</th>\n",
" <th>day</th>\n",
" <th>time</th>\n",
" <th>size</th>\n",
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" <th>19</th>\n",
" <td>20.65</td>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
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" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>187</th>\n",
" <td>30.46</td>\n",
" <td>Yes</td>\n",
" <td>NaN</td>\n",
" <td>Dinner</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>169</th>\n",
" <td>10.63</td>\n",
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" <td>Dinner</td>\n",
" <td>2.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>18.35</td>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
" <td>Dinner</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
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"text/plain": [
" total_bill smoker day time size\n",
"112 38.07 No Sun Dinner 3.0\n",
"19 20.65 No NaN Dinner NaN\n",
"187 30.46 Yes NaN Dinner NaN\n",
"169 10.63 Yes Sat Dinner 2.0\n",
"31 18.35 No NaN Dinner NaN"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#Set seed\n",
"seed = 123\n",
" \n",
"#Import package / module for data\n",
"import pandas as pd\n",
"from seaborn import load_dataset\n",
" \n",
"#Importing modules for Feature Engineering and modeling\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.base import BaseEstimator, TransformerMixin\n",
"from sklearn.preprocessing import OneHotEncoder, MinMaxScaler\n",
"from sklearn.impute import SimpleImputer\n",
"from sklearn.pipeline import Pipeline, FeatureUnion\n",
"from sklearn.compose import ColumnTransformer\n",
"from sklearn.linear_model import LinearRegression\n",
" \n",
"#Loading data sets\n",
"df = load_dataset('tips').drop(columns=['tip', 'sex']).sample(n=5, random_state=seed)\n",
" \n",
"#Add missing values\n",
"df.iloc[[1, 2, 4], [2, 4]] = np.nan\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "c07d3315",
"metadata": {},
"outputs": [],
"source": [
"#Partition data\n",
"X_train, X_test, y_train, y_test = train_test_split(df.drop(columns=['total_bill', 'size']),\n",
" df['total_bill'],\n",
" test_size=.2,\n",
" random_state=seed)"
]
},
{
"cell_type": "markdown",
"id": "8c3b740c",
"metadata": {},
"source": [
"## Without Pipelines"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "f379be5c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"******************** Training data ********************\n"
]
},
{
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"text/plain": [
" smoker day time\n",
"169 Yes Sat Dinner\n",
"31 No NaN Dinner\n",
"112 No Sun Dinner\n",
"187 Yes NaN Dinner"
]
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"text/plain": [
" smoker day time\n",
"0 Yes Sat Dinner\n",
"1 No missing Dinner\n",
"2 No Sun Dinner\n",
"3 Yes missing Dinner"
]
},
"metadata": {},
"output_type": "display_data"
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" <th>day_Sat</th>\n",
" <th>day_Sun</th>\n",
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" <th>1</th>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
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" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
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" </tr>\n",
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" <th>3</th>\n",
" <td>0.0</td>\n",
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"text/plain": [
" smoker_No smoker_Yes day_Sat day_Sun day_missing time_Dinner\n",
"0 0.0 1.0 1.0 0.0 0.0 1.0\n",
"1 1.0 0.0 0.0 0.0 1.0 1.0\n",
"2 1.0 0.0 0.0 1.0 0.0 1.0\n",
"3 0.0 1.0 0.0 0.0 1.0 1.0"
]
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"metadata": {},
"output_type": "display_data"
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{
"name": "stdout",
"output_type": "stream",
"text": [
"******************** Test data ********************\n"
]
},
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" smoker day time\n",
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"text/plain": [
" smoker_No smoker_Yes day_Sat day_Sun day_missing time_Dinner\n",
"0 1.0 0.0 0.0 0.0 1.0 1.0"
]
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"metadata": {},
"output_type": "display_data"
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],
"source": [
"# Input training data\n",
"imputer = SimpleImputer(strategy='constant', fill_value='missing')\n",
"X_train_imputed = imputer.fit_transform(X_train)\n",
"\n",
"# Coding training data\n",
"encoder = OneHotEncoder(handle_unknown='ignore', sparse=False)\n",
"X_train_encoded = encoder.fit_transform(X_train_imputed)\n",
"\n",
"# Check the data before and after the training\n",
"print(\"******************** Training data ********************\")\n",
"display(X_train)\n",
"display(pd.DataFrame(X_train_imputed, columns=X_train.columns))\n",
"display(pd.DataFrame(X_train_encoded,\n",
" columns=encoder.get_feature_names_out(X_train.columns)))\n",
"\n",
"# Convert test data\n",
"X_test_imputed = imputer.transform(X_test)\n",
"X_test_encoded = encoder.transform(X_test_imputed)\n",
"\n",
"# Check the data before and after the test\n",
"print(\"******************** Test data ********************\")\n",
"display(X_test)\n",
"display(pd.DataFrame(X_test_imputed, columns=X_train.columns))\n",
"display(pd.DataFrame(X_test_encoded,\n",
" columns=encoder.get_feature_names_out(X_train.columns)))"
]
},
{
"cell_type": "markdown",
"id": "b7c288ad",
"metadata": {},
"source": [
"# Scikit-Learn Pipelines"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "ab694c9f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"******************** Training data ********************\n"
]
},
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" smoker day time\n",
"169 Yes Sat Dinner\n",
"31 No NaN Dinner\n",
"112 No Sun Dinner\n",
"187 Yes NaN Dinner"
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"text/plain": [
" smoker_No smoker_Yes day_Sat day_Sun day_missing time_Dinner\n",
"0 0.0 1.0 1.0 0.0 0.0 1.0\n",
"1 1.0 0.0 0.0 0.0 1.0 1.0\n",
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"3 0.0 1.0 0.0 0.0 1.0 1.0"
]
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"metadata": {},
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{
"name": "stdout",
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"text": [
"******************** Test data ********************\n"
]
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" }\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>smoker_No</th>\n",
" <th>smoker_Yes</th>\n",
" <th>day_Sat</th>\n",
" <th>day_Sun</th>\n",
" <th>day_missing</th>\n",
" <th>time_Dinner</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" smoker_No smoker_Yes day_Sat day_Sun day_missing time_Dinner\n",
"0 1.0 0.0 0.0 0.0 1.0 1.0"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Match pipes to training data\n",
"pipe = Pipeline([('imputer', SimpleImputer(strategy='constant', fill_value='missing')),\n",
" ('encoder', OneHotEncoder(handle_unknown='ignore', sparse=False))])\n",
"pipe.fit(X_train)\n",
"\n",
"# Check the data before and after the training\n",
"print(\"******************** Training data ********************\")\n",
"display(X_train)\n",
"display(pd.DataFrame(pipe.transform(X_train),\n",
" columns=pipe['encoder'].get_feature_names_out(X_train.columns)))\n",
"\n",
"# Check the data before and after the test\n",
"print(\"******************** Test data ********************\")\n",
"display(X_test)\n",
"display(pd.DataFrame(pipe.transform(X_test),\n",
" columns=pipe['encoder'].get_feature_names_out(X_train.columns)))"
]
},
{
"cell_type": "markdown",
"id": "b337100e",
"metadata": {},
"source": [
"## Add ML model without pipeline"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "b3c58437",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Predictions on training data: [10.63 18.35 38.07 30.46]\n",
"Predictions on test data: [18.35]\n"
]
}
],
"source": [
"#Input training data\n",
"imputer = SimpleImputer(strategy='constant', fill_value='missing')\n",
"X_train_imputed = imputer.fit_transform(X_train)\n",
" \n",
"#Coding training data\n",
"encoder = OneHotEncoder(handle_unknown='ignore', sparse=False)\n",
"X_train_encoded = encoder.fit_transform(X_train_imputed)\n",
" \n",
"#Make the model fit the training data\n",
"model = LinearRegression()\n",
"model.fit(X_train_encoded, y_train)\n",
" \n",
"#Forecast training data\n",
"y_train_pred = model.predict(X_train_encoded)\n",
"print(f\"Predictions on training data: {y_train_pred}\")\n",
" \n",
"#Convert test data\n",
"X_test_imputed = imputer.transform(X_test)\n",
"X_test_encoded = encoder.transform(X_test_imputed)\n",
" \n",
"#Forecast test data\n",
"y_test_pred = model.predict(X_test_encoded)\n",
"print(f\"Predictions on test data: {y_test_pred}\")"
]
},
{
"cell_type": "markdown",
"id": "697441d3",
"metadata": {},
"source": [
"## Add ML model to the pipeline"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "7d50326e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Predictions on training data: [10.63 18.35 38.07 30.46]\n",
"Predictions on test data: [18.35]\n"
]
}
],
"source": [
"# Match pipes to training data\n",
"pipe = Pipeline([('imputer', SimpleImputer(strategy='constant', fill_value='missing')),\n",
" ('encoder', OneHotEncoder(handle_unknown='ignore', sparse=False)),\n",
" ('model', LinearRegression())])\n",
"pipe.fit(X_train, y_train)\n",
"\n",
"# Forecast training data\n",
"y_train_pred = pipe.predict(X_train)\n",
"print(f\"Predictions on training data: {y_train_pred}\")\n",
"\n",
"# Forecast test data\n",
"y_test_pred = pipe.predict(X_test)\n",
"print(f\"Predictions on test data: {y_test_pred}\")"
]
},
{
"attachments": {
"image.png": {
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"
}
},
"cell_type": "markdown",
"id": "946aa36c",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "markdown",
"id": "306230d7",
"metadata": {},
"source": [
"# Scikit-Learn ColumnTransformer"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "f19e66c8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Categorical columns are: ['smoker', 'day', 'time']\n",
"Numerical columns are: ['size']\n"
]
}
],
"source": [
"# Partition data\n",
"X_train, X_test, y_train, y_test = train_test_split(df.drop(columns=['total_bill']),\n",
" df['total_bill'],\n",
" test_size=.2,\n",
" random_state=seed)\n",
"\n",
"# Define classification columns\n",
"categorical = list(X_train.select_dtypes('category').columns)\n",
"print(f\"Categorical columns are: {categorical}\")\n",
"\n",
"# Define numeric columns\n",
"numerical = list(X_train.select_dtypes('number').columns)\n",
"print(f\"Numerical columns are: {numerical}\")"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "7e5b6321",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"******************** Training data ********************\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"\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>smoker</th>\n",
" <th>day</th>\n",
" <th>time</th>\n",
" <th>size</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>169</th>\n",
" <td>Yes</td>\n",
" <td>Sat</td>\n",
" <td>Dinner</td>\n",
" <td>2.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
" <td>Dinner</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>112</th>\n",
" <td>No</td>\n",
" <td>Sun</td>\n",
" <td>Dinner</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>187</th>\n",
" <td>Yes</td>\n",
" <td>NaN</td>\n",
" <td>Dinner</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" smoker day time size\n",
"169 Yes Sat Dinner 2.0\n",
"31 No NaN Dinner NaN\n",
"112 No Sun Dinner 3.0\n",
"187 Yes NaN Dinner NaN"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"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>smoker_No</th>\n",
" <th>smoker_Yes</th>\n",
" <th>day_Sat</th>\n",
" <th>day_Sun</th>\n",
" <th>day_missing</th>\n",
" <th>time_Dinner</th>\n",
" <th>size</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
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" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>2.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" smoker_No smoker_Yes day_Sat day_Sun day_missing time_Dinner size\n",
"0 0.0 1.0 1.0 0.0 0.0 1.0 2.0\n",
"1 1.0 0.0 0.0 0.0 1.0 1.0 NaN\n",
"2 1.0 0.0 0.0 1.0 0.0 1.0 3.0\n",
"3 0.0 1.0 0.0 0.0 1.0 1.0 NaN"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"******************** Test data ********************\n"
]
},
{
"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>smoker</th>\n",
" <th>day</th>\n",
" <th>time</th>\n",
" <th>size</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
" <td>Dinner</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" smoker day time size\n",
"19 No NaN Dinner NaN"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"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>smoker_No</th>\n",
" <th>smoker_Yes</th>\n",
" <th>day_Sat</th>\n",
" <th>day_Sun</th>\n",
" <th>day_missing</th>\n",
" <th>time_Dinner</th>\n",
" <th>size</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" smoker_No smoker_Yes day_Sat day_Sun day_missing time_Dinner size\n",
"0 1.0 0.0 0.0 0.0 1.0 1.0 NaN"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Define classification pipeline\n",
"cat_pipe = Pipeline([('imputer', SimpleImputer(strategy='constant', fill_value='missing')),\n",
" ('encoder', OneHotEncoder(handle_unknown='ignore', sparse=False))])\n",
"\n",
"# Make columntransformer fit training data\n",
"preprocessor = ColumnTransformer(transformers=[('cat', cat_pipe, categorical)],\n",
" remainder='passthrough')\n",
"preprocessor.fit(X_train)\n",
"\n",
"# Ready to list\n",
"cat_columns = preprocessor.named_transformers_[\n",
" 'cat']['encoder'].get_feature_names_out(categorical)\n",
"columns = np.append(cat_columns, numerical)\n",
"\n",
"# Check the data before and after the training\n",
"print(\"******************** Training data ********************\")\n",
"display(X_train)\n",
"display(pd.DataFrame(preprocessor.transform(X_train), columns=columns))\n",
"\n",
"# Check the data before and after the test\n",
"print(\"******************** Test data ********************\")\n",
"display(X_test)\n",
"display(pd.DataFrame(preprocessor.transform(X_test), columns=columns))"
]
},
{
"attachments": {
"image.png": {
"image/png": 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}
},
"cell_type": "markdown",
"id": "e009ad6c",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "befe88f2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"******************** Training data ********************\n"
]
},
{
"data": {
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"metadata": {},
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{
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"text": [
"******************** Test data ********************\n"
]
},
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" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>0.5</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" smoker_No smoker_Yes day_Sat day_Sun day_missing time_Dinner size\n",
"0 1.0 0.0 0.0 0.0 1.0 1.0 0.5"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Define classification pipeline\n",
"cat_pipe = Pipeline([('imputer', SimpleImputer(strategy='constant', fill_value='missing')),\n",
" ('encoder', OneHotEncoder(handle_unknown='ignore', sparse=False))])\n",
"\n",
"# Define value pipeline\n",
"num_pipe = Pipeline([('imputer', SimpleImputer(strategy='median')),\n",
" ('scaler', MinMaxScaler())])\n",
"\n",
"# Make columntransformer fit training data\n",
"preprocessor = ColumnTransformer(transformers=[('cat', cat_pipe, categorical),\n",
" ('num', num_pipe, numerical)])\n",
"preprocessor.fit(X_train)\n",
"\n",
"# Ready to list\n",
"cat_columns = preprocessor.named_transformers_[\n",
" 'cat']['encoder'].get_feature_names_out(categorical)\n",
"columns = np.append(cat_columns, numerical)\n",
"\n",
"# Check the data before and after the training\n",
"print(\"******************** Training data ********************\")\n",
"display(X_train)\n",
"display(pd.DataFrame(preprocessor.transform(X_train), columns=columns))\n",
"\n",
"# Check the data before and after the test\n",
"print(\"******************** Test data ********************\")\n",
"display(X_test)\n",
"display(pd.DataFrame(preprocessor.transform(X_test), columns=columns))"
]
},
{
"attachments": {
"image.png": {
"image/png": 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"
}
},
"cell_type": "markdown",
"id": "0912f856",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "0325720c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Predictions on training data: [10.63 18.35 38.07 30.46]\n",
"Predictions on test data: [18.35]\n"
]
}
],
"source": [
"# Define classification pipeline\n",
"cat_pipe = Pipeline([('imputer', SimpleImputer(strategy='constant', fill_value='missing')),\n",
" ('encoder', OneHotEncoder(handle_unknown='ignore', sparse=False))])\n",
"\n",
"# Define value pipeline\n",
"num_pipe = Pipeline([('imputer', SimpleImputer(strategy='median')),\n",
" ('scaler', MinMaxScaler())])\n",
"\n",
"# Combined classification pipeline and numerical pipeline\n",
"preprocessor = ColumnTransformer(transformers=[('cat', cat_pipe, categorical),\n",
" ('num', num_pipe, numerical)])\n",
"\n",
"# Install transformer and training data estimator on the pipeline\n",
"pipe = Pipeline(steps=[('preprocessor', preprocessor),\n",
" ('model', LinearRegression())])\n",
"pipe.fit(X_train, y_train)\n",
"\n",
"# Forecast training data\n",
"y_train_pred = pipe.predict(X_train)\n",
"print(f\"Predictions on training data: {y_train_pred}\")\n",
"\n",
"# Forecast test data\n",
"y_test_pred = pipe.predict(X_test)\n",
"print(f\"Predictions on test data: {y_test_pred}\")"
]
},
{
"cell_type": "markdown",
"id": "558568f8",
"metadata": {},
"source": [
"# Scikit-Learn FeatureUnion"
]
},
{
"attachments": {
"image.png": {
"image/png": 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"
}
},
"cell_type": "markdown",
"id": "ee8fefdb",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "366a9b45",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"******************** Training data ********************\n"
]
},
{
"data": {
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>smoker</th>\n",
" <th>day</th>\n",
" <th>time</th>\n",
" <th>size</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>169</th>\n",
" <td>Yes</td>\n",
" <td>Sat</td>\n",
" <td>Dinner</td>\n",
" <td>2.0</td>\n",
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" <tr>\n",
" <th>31</th>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
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" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>112</th>\n",
" <td>No</td>\n",
" <td>Sun</td>\n",
" <td>Dinner</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>187</th>\n",
" <td>Yes</td>\n",
" <td>NaN</td>\n",
" <td>Dinner</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" smoker day time size\n",
"169 Yes Sat Dinner 2.0\n",
"31 No NaN Dinner NaN\n",
"112 No Sun Dinner 3.0\n",
"187 Yes NaN Dinner NaN"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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" vertical-align: top;\n",
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"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>smoker_No</th>\n",
" <th>smoker_Yes</th>\n",
" <th>day_Sat</th>\n",
" <th>day_Sun</th>\n",
" <th>day_missing</th>\n",
" <th>time_Dinner</th>\n",
" <th>size</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>0.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>0.5</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" smoker_No smoker_Yes day_Sat day_Sun day_missing time_Dinner size\n",
"0 0.0 1.0 1.0 0.0 0.0 1.0 0.0\n",
"1 1.0 0.0 0.0 0.0 1.0 1.0 0.5\n",
"2 1.0 0.0 0.0 1.0 0.0 1.0 1.0\n",
"3 0.0 1.0 0.0 0.0 1.0 1.0 0.5"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"******************** Test data ********************\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>smoker</th>\n",
" <th>day</th>\n",
" <th>time</th>\n",
" <th>size</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>No</td>\n",
" <td>NaN</td>\n",
" <td>Dinner</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" smoker day time size\n",
"19 No NaN Dinner NaN"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
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" }\n",
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" text-align: right;\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>smoker_No</th>\n",
" <th>smoker_Yes</th>\n",
" <th>day_Sat</th>\n",
" <th>day_Sun</th>\n",
" <th>day_missing</th>\n",
" <th>time_Dinner</th>\n",
" <th>size</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1.0</td>\n",
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"text/plain": [
" smoker_No smoker_Yes day_Sat day_Sun day_missing time_Dinner size\n",
"0 1.0 0.0 0.0 0.0 1.0 1.0 0.5"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Custom pipe\n",
"class ColumnSelector(BaseEstimator, TransformerMixin):\n",
" \"\"\"Select only specified columns.\"\"\"\n",
"\n",
" def __init__(self, columns):\n",
" self.columns = columns\n",
"\n",
" def fit(self, X, y=None):\n",
" return self\n",
"\n",
" def transform(self, X):\n",
" return X[self.columns]\n",
"\n",
"\n",
"# Define classification pipeline\n",
"cat_pipe = Pipeline([('selector', ColumnSelector(categorical)),\n",
" ('imputer', SimpleImputer(\n",
" strategy='constant', fill_value='missing')),\n",
" ('encoder', OneHotEncoder(handle_unknown='ignore', sparse=False))])\n",
"\n",
"# Define value pipeline\n",
"num_pipe = Pipeline([('selector', ColumnSelector(numerical)),\n",
" ('imputer', SimpleImputer(strategy='median')),\n",
" ('scaler', MinMaxScaler())])\n",
"\n",
"# Featureunion fitting training data\n",
"preprocessor = FeatureUnion(transformer_list=[('cat', cat_pipe),\n",
" ('num', num_pipe)])\n",
"preprocessor.fit(X_train)\n",
"\n",
"# Ready to list\n",
"cat_columns = preprocessor.transformer_list[0][1][2].get_feature_names_out(\n",
" categorical)\n",
"columns = np.append(cat_columns, numerical)\n",
"\n",
"# Check the data before and after the training\n",
"print(\"******************** Training data ********************\")\n",
"display(X_train)\n",
"display(pd.DataFrame(preprocessor.transform(X_train), columns=columns))\n",
"\n",
"# Check the data before and after the test\n",
"print(\"******************** Test data ********************\")\n",
"display(X_test)\n",
"display(pd.DataFrame(preprocessor.transform(X_test), columns=columns))"
]
},
{
"attachments": {
"image.png": {
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"
}
},
"cell_type": "markdown",
"id": "a4ff9fcd",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "666e94b3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Predictions on training data: [10.63 18.35 38.07 30.46]\n",
"Predictions on test data: [18.35]\n"
]
}
],
"source": [
"# Define classification pipeline\n",
"cat_pipe = Pipeline([('selector', ColumnSelector(categorical)),\n",
" ('imputer', SimpleImputer(\n",
" strategy='constant', fill_value='missing')),\n",
" ('encoder', OneHotEncoder(handle_unknown='ignore', sparse=False))])\n",
"\n",
"# Define value pipeline\n",
"num_pipe = Pipeline([('selector', ColumnSelector(numerical)),\n",
" ('imputer', SimpleImputer(strategy='median')),\n",
" ('scaler', MinMaxScaler())])\n",
"\n",
"# Combined classification pipeline and numerical pipeline\n",
"preprocessor = FeatureUnion(transformer_list=[('cat', cat_pipe),\n",
" ('num', num_pipe)])\n",
"\n",
"# Combined classification pipeline and numerical pipeline\n",
"pipe = Pipeline(steps=[('preprocessor', preprocessor),\n",
" ('model', LinearRegression())])\n",
"pipe.fit(X_train, y_train)\n",
"\n",
"# Forecast training data\n",
"y_train_pred = pipe.predict(X_train)\n",
"print(f\"Predictions on training data: {y_train_pred}\")\n",
"\n",
"# Forecast test data\n",
"y_test_pred = pipe.predict(X_test)\n",
"print(f\"Predictions on test data: {y_test_pred}\")"
]
},
{
"cell_type": "markdown",
"id": "13f90f51",
"metadata": {},
"source": [
"# Bonus Example: NLP pipelines"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "ec61555b",
"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>document</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Food was good.</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Superb food :)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Absolutely superb!</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" document\n",
"0 Food was good.\n",
"1 Superb food :)\n",
"2 Absolutely superb!"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"from nltk.tokenize import RegexpTokenizer\n",
"from sklearn.base import BaseEstimator, TransformerMixin\n",
"from sklearn.impute import SimpleImputer\n",
"from sklearn.preprocessing import MinMaxScaler\n",
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"from sklearn.compose import ColumnTransformer\n",
"from sklearn.pipeline import Pipeline, FeatureUnion\n",
"\n",
"# Create a small sample data\n",
"X_train = pd.DataFrame(data={'document': ['Food was good.', \n",
" 'Superb food :)',\n",
" 'Absolutely superb!']})\n",
"X_train"
]
},
{
"cell_type": "markdown",
"id": "fda43139",
"metadata": {},
"source": [
"## a) Without Pipeline"
]
},
{
"attachments": {
"image.png": {
"image/png": 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"
}
},
"cell_type": "markdown",
"id": "c288a3e3",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "9268ead9",
"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>absolutely</th>\n",
" <th>food</th>\n",
" <th>good</th>\n",
" <th>superb</th>\n",
" <th>n_characters</th>\n",
" <th>n_tokens</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.000000</td>\n",
" <td>0.605349</td>\n",
" <td>0.795961</td>\n",
" <td>0.000000</td>\n",
" <td>14.0</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.000000</td>\n",
" <td>0.707107</td>\n",
" <td>0.000000</td>\n",
" <td>0.707107</td>\n",
" <td>14.0</td>\n",
" <td>2.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.795961</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.605349</td>\n",
" <td>18.0</td>\n",
" <td>2.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" absolutely food good superb n_characters n_tokens\n",
"0 0.000000 0.605349 0.795961 0.000000 14.0 3.0\n",
"1 0.000000 0.707107 0.000000 0.707107 14.0 2.0\n",
"2 0.795961 0.000000 0.000000 0.605349 18.0 2.0"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Define custom transformers\n",
"class CharacterCounter(BaseEstimator, TransformerMixin):\n",
" \"\"\"Count the number of characters in a document.\"\"\"\n",
"\n",
" def __init__(self):\n",
" pass\n",
"\n",
" def fit(self, X, y=None):\n",
" return self\n",
"\n",
" def transform(self, X):\n",
" n_characters = X.str.len()\n",
" return n_characters.values.reshape(-1, 1) # 2D array\n",
"\n",
"\n",
"class TokenCounter(BaseEstimator, TransformerMixin):\n",
" \"\"\"Count the number of tokens in a document.\"\"\"\n",
"\n",
" def __init__(self):\n",
" pass\n",
"\n",
" def fit(self, X, y=None):\n",
" self.tokeniser = RegexpTokenizer(r'[A-Za-z]+')\n",
" return self\n",
"\n",
" def transform(self, X):\n",
" n_tokens = X.apply(lambda document: len(\n",
" self.tokeniser.tokenize(document)))\n",
" return n_tokens.values.reshape(-1, 1) # 2D array\n",
"\n",
"\n",
"# Build a FeatureUnion\n",
"text = 'document'\n",
"\n",
"vectoriser = TfidfVectorizer(token_pattern=r'[a-z]+', stop_words='english')\n",
"character_counter = CharacterCounter()\n",
"token_counter = TokenCounter()\n",
"\n",
"preprocessor = FeatureUnion([\n",
" ('vectoriser', vectoriser),\n",
" ('character_counter', character_counter),\n",
" ('token_counter', token_counter)\n",
"])\n",
"\n",
"preprocessor.fit(X_train[text])\n",
"\n",
"# Transform the data and format for readibility\n",
"columns = np.append(preprocessor.transformer_list[0][1].get_feature_names_out(), [\n",
" 'n_characters', 'n_tokens'])\n",
"X_train_transformed = pd.DataFrame(preprocessor.transform(X_train[text]).toarray(),\n",
" columns=columns)\n",
"X_train_transformed"
]
},
{
"cell_type": "markdown",
"id": "c0b6984d",
"metadata": {},
"source": [
"## b) With Pipeline"
]
},
{
"attachments": {
"image.png": {
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"
}
},
"cell_type": "markdown",
"id": "78795568",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "8010fe1d",
"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>absolutely</th>\n",
" <th>food</th>\n",
" <th>good</th>\n",
" <th>superb</th>\n",
" <th>n_characters</th>\n",
" <th>n_tokens</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.000000</td>\n",
" <td>0.605349</td>\n",
" <td>0.795961</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.000000</td>\n",
" <td>0.707107</td>\n",
" <td>0.000000</td>\n",
" <td>0.707107</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.795961</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.605349</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" absolutely food good superb n_characters n_tokens\n",
"0 0.000000 0.605349 0.795961 0.000000 0.0 1.0\n",
"1 0.000000 0.707107 0.000000 0.707107 0.0 0.0\n",
"2 0.795961 0.000000 0.000000 0.605349 1.0 0.0"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Build a FeatureUnion with Pipelines\n",
"character_pipe = Pipeline([\n",
" ('character_counter', CharacterCounter()),\n",
" ('scaler', MinMaxScaler())\n",
"])\n",
"\n",
"token_pipe = Pipeline([\n",
" ('token_counter', TokenCounter()),\n",
" ('scaler', MinMaxScaler())\n",
"])\n",
"\n",
"preprocessor = FeatureUnion([\n",
" ('vectoriser', vectoriser),\n",
" ('character', character_pipe),\n",
" ('token', token_pipe)\n",
"])\n",
"\n",
"preprocessor.fit(X_train[text])\n",
"\n",
"# Transform the data and format for readibility\n",
"columns = np.append(preprocessor.transformer_list[0][1].get_feature_names_out(\n",
"), ['n_characters', 'n_tokens'])\n",
"X_train_transformed = pd.DataFrame(preprocessor.transform(X_train[text]).toarray(),\n",
" columns=columns)\n",
"X_train_transformed"
]
},
{
"cell_type": "markdown",
"id": "3ec7b8e2",
"metadata": {},
"source": [
"## Using Sequential Transformers"
]
},
{
"attachments": {
"image.png": {
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"
}
},
"cell_type": "markdown",
"id": "8a32147f",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "33e5fe65",
"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>absolutely</th>\n",
" <th>food</th>\n",
" <th>good</th>\n",
" <th>superb</th>\n",
" <th>n_characters</th>\n",
" <th>n_tokens</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.000000</td>\n",
" <td>0.605349</td>\n",
" <td>0.795961</td>\n",
" <td>0.000000</td>\n",
" <td>14.0</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.000000</td>\n",
" <td>0.707107</td>\n",
" <td>0.000000</td>\n",
" <td>0.707107</td>\n",
" <td>14.0</td>\n",
" <td>2.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.795961</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.605349</td>\n",
" <td>18.0</td>\n",
" <td>2.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" absolutely food good superb n_characters n_tokens\n",
"0 0.000000 0.605349 0.795961 0.000000 14.0 3.0\n",
"1 0.000000 0.707107 0.000000 0.707107 14.0 2.0\n",
"2 0.795961 0.000000 0.000000 0.605349 18.0 2.0"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Define sample customer transformers\n",
"class CharacterCounter(BaseEstimator, TransformerMixin):\n",
" \"\"\"Count the number of characters in a document.\"\"\"\n",
"\n",
" def __init__(self):\n",
" pass\n",
"\n",
" def fit(self, X, y=None):\n",
"\n",
" return self\n",
"\n",
" def transform(self, X):\n",
" n_characters = X.str.len().rename('n_characters')\n",
" df = pd.concat([X, n_characters], axis=1)\n",
" return df\n",
"\n",
"\n",
"class TokenCounter(BaseEstimator, TransformerMixin):\n",
" \"\"\"Count the number of tokens in a document.\"\"\"\n",
"\n",
" def __init__(self, col=None):\n",
" self.col = col\n",
"\n",
" def fit(self, X, y=None):\n",
" self.tokeniser = RegexpTokenizer(r'[A-Za-z]+')\n",
" return self\n",
"\n",
" def transform(self, X):\n",
" df = X.copy()\n",
" df['n_tokens'] = df[self.col].apply(\n",
" lambda document: len(self.tokeniser.tokenize(document)))\n",
" return df.drop(columns=self.col)\n",
"\n",
"\n",
"# Build a FeatureUnion with Pipeline\n",
"counter_pipe = Pipeline([\n",
" ('character_counter', CharacterCounter()),\n",
" ('token_counter', TokenCounter(text))\n",
"])\n",
"\n",
"preprocessor = FeatureUnion([\n",
" ('vectoriser', vectoriser),\n",
" ('counter', counter_pipe)\n",
"])\n",
"\n",
"preprocessor.fit(X_train[text])\n",
"\n",
"# Transform the data and format for readibility\n",
"columns = np.append(preprocessor.transformer_list[0][1].get_feature_names_out(\n",
"), ['n_characters', 'n_tokens'])\n",
"X_train_transformed = pd.DataFrame(preprocessor.transform(X_train[text]).toarray(),\n",
" columns=columns)\n",
"X_train_transformed"
]
},
{
"cell_type": "markdown",
"id": "32cbf131",
"metadata": {},
"source": [
"## With ColumnTransformer"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "d730d405",
"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>document</th>\n",
" <th>has_tipped</th>\n",
" <th>rating</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Food was good.</td>\n",
" <td>1</td>\n",
" <td>4.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Superb food :)</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Absolutely superb!</td>\n",
" <td>1</td>\n",
" <td>5.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" document has_tipped rating\n",
"0 Food was good. 1 4.0\n",
"1 Superb food :) 0 NaN\n",
"2 Absolutely superb! 1 5.0"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Add two numerical columns\n",
"X_train['has_tipped'] = [1, 0, 1]\n",
"X_train['rating'] = [4, np.nan, 5]\n",
"X_train"
]
},
{
"attachments": {
"image.png": {
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"
}
},
"cell_type": "markdown",
"id": "12e374a1",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "b8d22f59",
"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>has_tipped</th>\n",
" <th>rating</th>\n",
" <th>absolutely</th>\n",
" <th>food</th>\n",
" <th>good</th>\n",
" <th>superb</th>\n",
" <th>n_characters</th>\n",
" <th>n_tokens</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.605349</td>\n",
" <td>0.795961</td>\n",
" <td>0.000000</td>\n",
" <td>14.0</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.0</td>\n",
" <td>0.5</td>\n",
" <td>0.000000</td>\n",
" <td>0.707107</td>\n",
" <td>0.000000</td>\n",
" <td>0.707107</td>\n",
" <td>14.0</td>\n",
" <td>2.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>0.795961</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.605349</td>\n",
" <td>18.0</td>\n",
" <td>2.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" has_tipped rating absolutely food good superb n_characters \\\n",
"0 1.0 0.0 0.000000 0.605349 0.795961 0.000000 14.0 \n",
"1 0.0 0.5 0.000000 0.707107 0.000000 0.707107 14.0 \n",
"2 1.0 1.0 0.795961 0.000000 0.000000 0.605349 18.0 \n",
"\n",
" n_tokens \n",
"0 3.0 \n",
"1 2.0 \n",
"2 2.0 "
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Build a ColumnTransformer with FeatureUnion\n",
"numerical = ['has_tipped', 'rating']\n",
"\n",
"text_union = FeatureUnion([\n",
" ('vectoriser', vectoriser),\n",
" ('counter', counter_pipe)\n",
"])\n",
"\n",
"num_pipe = Pipeline([\n",
" ('imputer', SimpleImputer(strategy='median')),\n",
" ('scaler', MinMaxScaler())\n",
"])\n",
"\n",
"preprocessor = ColumnTransformer([\n",
" ('num', num_pipe, numerical),\n",
" ('text', text_union, text)\n",
"])\n",
"\n",
"preprocessor.fit(X_train)\n",
"\n",
"# Transform the data and format for readibility\n",
"terms = preprocessor.named_transformers_[\n",
" 'text'].transformer_list[0][1].get_feature_names_out()\n",
"columns = np.concatenate((numerical, terms, ['n_characters', 'n_tokens']))\n",
"X_train_transformed = pd.DataFrame(\n",
" preprocessor.transform(X_train), columns=columns)\n",
"X_train_transformed"
]
},
{
"cell_type": "code",
"execution_count": 64,
"id": "d55b44d9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ 1. , 0.5 , 0.79596054, 0.60534851, 0. ,\n",
" 0. , 25. , 3. ]])"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Create sample test data\n",
"X_test = pd.DataFrame({\"document\": [\"Absolutely fantastic food\"],\n",
" \"has_tipped\": [1],\n",
" \"rating\": [np.nan]})\n",
"\n",
"# Preprocess the test data\n",
"preprocessor.transform(X_test)"
]
},
{
"cell_type": "markdown",
"id": "0419289c",
"metadata": {},
"source": [
"# Summary"
]
},
{
"attachments": {
"image.png": {
"image/png": 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"
}
},
"cell_type": "markdown",
"id": "6509b217",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.9.12"
},
"varInspector": {
"cols": {
"lenName": 16,
"lenType": 16,
"lenVar": 40
},
"kernels_config": {
"python": {
"delete_cmd_postfix": "",
"delete_cmd_prefix": "del ",
"library": "var_list.py",
"varRefreshCmd": "print(var_dic_list())"
},
"r": {
"delete_cmd_postfix": ") ",
"delete_cmd_prefix": "rm(",
"library": "var_list.r",
"varRefreshCmd": "cat(var_dic_list()) "
}
},
"types_to_exclude": [
"module",
"function",
"builtin_function_or_method",
"instance",
"_Feature"
],
"window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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