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Wann-Jiun/nycdsa_p4_scaling.py

Created January 19, 2017 22:56
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nycdsa_p4_scaling.py
from sklearn.preprocessing import StandardScaler
scaling = StandardScaler()
scaling.fit(train_df[numerical_features])
scaling_result = scaling.transform(train_df[numerical_features])
for i, col in enumerate(numerical_features):
train_df[col] = scaling_result[:, i]
scaling_result = scaler.transform(test_df_munged[numeric_features])
for i, col in enumerate(numeric_features):
test_df[col] = scaling_result[:, i]
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