Python Wrapper for R package sPlit
sPlit: Split a Dataset for training and testing based on the idea of support points
Reference: Joseph, V. R., & Vakayil, A. (2022). SPlit: An optimal method for data splitting. Technometrics, 64(2), 166-176.
Installation
Open a command terminal.
git clone https://github.com/PanyiDong/SuppsPlit.git
cd SuppsPlit
python setup.py build_ext --inplace
Usage
import pandas as pd
import numpy as np
from SuppsPlit import SPlit
# toy dataset
df = pd.DataFrame({
"X": np.random.randn(100),
"Y": np.random.randn(100)
})
indices = SPlit(df, split_ratio=0.2, n_threads=2)
print("Test indices:", indices)
1 maintainer
Metadata
1 maintainer
Release files for SuppsPlit 0.0.3
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Release files / suppsplit-0.0.3.tar.gz
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