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Balanced splitting utility

Project description


A utility library for splitting datasets in a balanced manner, with regards to several features.


pip install balanced-splits


import numpy as np
import pandas as pd
from balanced_splits.split import optimized_split

sample_size = 100
df = pd.DataFrame({
    'age': np.random.normal(loc=45, scale=7., size=sample_size),
    'skill': 1 - np.random.power(4, size=sample_size),
    'type': np.random.choice(['T1', 'T2', 'T3'], size=sample_size)

A, B = optimized_split(df)

print('Partition 1\n===========\n')


print('Partition 2\n===========\n')

Check out the "examples" section for more examples.

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