regsample.py

from reg_resampler import resampler

# Initialize the resampler object
rs = resampler()

# You might recieve info about class merger for low sample classes
# Generate classes
Y_classes = rs.fit(train, target=target, bins=num_bins)
# Create the actual target variable
Y = df_train[target]

# Create a smote (over-sampling) object from imblearn
smote = SMOTE(random_state=27)

# Now resample
final_X, final_Y = rs.resample(smote, df_train, Y_classes)