Crate rand_split

This crate achieves the functionality of sklearn’s train_test_split to generate splits of the data (in this case, a slice), generalized for an arbitrary number of splits. It both provides functions (see split_parts) that work on slices and iterator traits (see PartsSplit)to work with streams of data.

Check out the examples in the repository for more information.

Traits

• PartsSplit
  An iterator trait to generate splits from a data stream of unknown lenght.
• TTVSplit
  An iterator type to generate train/test/validaton splits from a data stream of unknown lenght.

Functions

• split_parts
  Split the elements of a container in randomized sets which contain a a part (in splits) of the input.
• train_test_split
  Generate train-test splits. Wrapper around split_parts
• ttv_split
  Generate train-test-validation splits. Wrapper around split_parts