239c00428f7448d30b78bf8653923f6bc0e2c29b
* uncomment test * Add random test for logistic regression * linting * Bump version * Add test for logistic regression * linting * initial commit * final * final-clean * Bump to 0.4.0 * Fix linter * cleanup * Update CHANDELOG with breaking changes * Update CHANDELOG date * Add functional methods to DenseMatrix implementation * linting * add type declaration in test * Fix Wasm tests failing * linting * fix tests * linting * Add type annotations on BBDTree constructor * fix clippy * fix clippy * fix tests * bump version * run fmt. fix changelog --------- Co-authored-by: Edmund Cape <edmund@Edmunds-MacBook-Pro.local>
User guide | API | Notebooks
Machine Learning in Rust
To start getting familiar with the new smartcore v0.3 API, there is now available a Jupyter Notebook environment repository. Please see instructions there, contributions welcome see CONTRIBUTING.
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%