sf_crime_12.py
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def time_split(df, validation_pct=0.2): | |
df = df.sort_values("Dates") | |
split_date = df.loc[df.index[int(len(df) * (1 - validation_pct))], "Dates"] | |
return df.index[df["Dates"] <= split_date], df.index[df["Dates"] > split_date] | |
train_idx, validation_idx = time_split(train, validation_pct=0.2) | |
print(f"Training data has {len(train_idx)} samples from {train.loc[train_idx, 'Dates'].min()} to {train.loc[train_idx, 'Dates'].max()}") | |
print(f"Validation data has {len(validation_idx)} samples from {train.loc[validation_idx, 'Dates'].min()} to {train.loc[validation_idx, 'Dates'].max()}") | |
train.drop("Dates", axis=1, inplace=True) | |
to = TabularPandas(train, | |
procs=[Categorify, FillMissing, Normalize], | |
cat_names=cat, | |
cont_names=cont, | |
y_names="TargetedCategory", | |
splits=[list(train_idx), list(validation_idx)]) |
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