Learning to Split for Automatic Bias Detection
-
Updated
May 1, 2023 - Python
Learning to Split for Automatic Bias Detection
`Spltr` is a simple PyTorch-based data loader and splitter. It may be used to load arrays and matrices or Pandas DataFrames and CSV files containing numerical data with subsequent split it into train, test (validation) subsets in the form of PyTorch DataLoader objects.
Apply DUPLEX data split to the given dataset and return training and test datasets. REF: Snee, R. D. (1977). Validation of regression models: methods and examples. Technometrics, 19(4), 415-428.
This program obtains orginal set file and randomly seperate it into train_val or test set file line by line.
Add a description, image, and links to the data-split topic page so that developers can more easily learn about it.
To associate your repository with the data-split topic, visit your repo's landing page and select "manage topics."