smartcore

Daniel Lacina c5816b0e1b refactored decision tree into reusable components (#316 )

* refactored decision tree into reusable components

* got rid of api code from base tree because its an implementation detail

* got rid of api code from base tree because its an implementation detail

* changed name

2025-07-12 11:25:53 +01:00

.github

Implement SVR and SVR kernels with Enum. Add tests for argsort_mut (#303 )

2025-06-02 11:01:46 +01:00

src

refactored decision tree into reusable components (#316 )

2025-07-12 11:25:53 +01:00

.gitignore

Release 0.3 (#235 )

2022-11-08 15:22:34 +00:00

Cargo.toml

Implement SVR and SVR kernels with Enum. Add tests for argsort_mut (#303 )

2025-06-02 11:01:46 +01:00

CHANGELOG.md

Patch to version 0.4.0 (#257 )

2024-03-04 08:51:27 -05:00

LICENSE

Release 0.3 (#235 )

2022-11-08 15:22:34 +00:00

README.md

Update README.md

2025-02-04 14:26:53 +00:00

smartcore.svg

Release 0.3 (#235 )

2022-11-08 15:22:34 +00:00

README.md

User guide | API | Notebooks

Machine Learning in Rust

To start getting familiar with the new smartcore v0.4 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.

classification clustering machine-learning machine-learning-algorithms model-selection regression rust rust-lang scientific-computing statistical-learning statistical-models

Readme Apache-2.0 2.9 MiB