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.

License

Licensed under either of

• Apache License, Version 2.0, (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
• MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

README.md is automatically generated on CI using cargo-readme. Please, modify README.tpl or lib.rs instead (check the github worflow for more details).