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Last active Sep 2, 2021
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if __name__ == '__main__':
# read training data
df = pd.read_csv('../data/processed/train_proc_labeled.csv',
converters={'GAME_ID': lambda x: str(x)})
# we create a new column called kfold and fill it with -1
df['kfold'] = -1
# randomize the rows of data
df = df.sample(frac=1).reset_index(drop=True)
# fetch labels
y = df.gm_cluster.values
# initiate the kfold class from model_Selection module
kf = model_selection.StratifiedKFold(n_splits=5)
# fill the new kfold column
for f, (t_, v_) in enumerate(kf.split(X=df, y=y)):
df.loc[v_, 'kfold'] = f
# save the new csv with kfold column
'../data/processed/train_proc_labeled_folds.csv', index=False)
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