Lorenzo a2588f6f45 KFold cross-validation (#8)
* 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>
2020-10-13 10:10:28 +01:00
2020-06-05 17:52:03 -07:00
2020-10-13 10:10:28 +01:00
2020-08-27 11:37:14 -07:00
2019-05-07 22:14:51 -07:00
2020-09-25 16:06:36 -07:00
2020-09-25 16:06:36 -07:00

SmartCore

User guide | API | Examples


The Most Advanced Machine Learning Library In Rust.


Description
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
Readme Apache-2.0 2.9 MiB
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