a2588f6f459b6138fb40aa2b29dd456478e5f29d
* Add documentation and API * Add public keyword * Implement test_indices (debug version) * Return indices as Vec of Vec * Consume vector using drain() * Use shape() to return num of samples * Implement test_masks * Implement KFold.split() * Make trait public * Add test for split * Fix samples in shape() * Implement shuffle * Simplify return values * Use usize for n_splits Co-authored-by: VolodymyrOrlov <volodymyr.orlov@gmail.com>
Description
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
classificationclusteringmachine-learningmachine-learning-algorithmsmodel-selectionregressionrustrust-langscientific-computingstatistical-learningstatistical-models
Readme
Apache-2.0
2.9 MiB
Languages
Rust
100%