silicone-merged / balance.py
Diwank Singh
Add balancing script
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# Balance dataset by oversampling using SMOTEN (ideal for categorical data)
# (https://imbalanced-learn.org/stable/references/generated/imblearn.over_sampling.SMOTEN.html)
from imblearn.over_sampling import SMOTEN
ros = SMOTEN(n_jobs=14) # Resampled on a 16-core, 60GB RAM machine
df_balanced_text, df_balanced_labels = ros.fit_resample(train_df[["text_a", "text_b"]], train_df["labels"])
df_balanced_text["labels"] = df_balanced_labels
print(f"""Balanced dataset size multiplier:
{len(df_balanced_labels) / len(train_df)}""") # 4.07
# Need to cache the balanced data
df_balanced_text.to_hdf("./balanced.h5", "data", complevel=9)