smartcore

Tushushu 4eadd16ce4 Implement the feature importance for Decision Tree Classifier (#275 )

* store impurity in the node

* add number of features

* add a TODO

* draft feature importance

* feat

* n_samples of node

* compute_feature_importances

* unit tests

* always calculate impurity

* fix bug

* fix linter

2024-02-24 23:37:30 -05:00

.github

Update CONTRIBUTING.md

2023-04-10 15:13:27 +01:00

src

Implement the feature importance for Decision Tree Classifier (#275 )

2024-02-24 23:37:30 -05:00

.gitignore

Release 0.3 (#235 )

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

Cargo.toml

Update itertools requirement from 0.11.0 to 0.12.0 (#271 )

2023-11-20 22:00:34 -04:00

CHANGELOG.md

Release 0.3 (#235 )

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

LICENSE

Release 0.3 (#235 )

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

README.md

Update README.md

2023-03-20 11:54:10 +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 v0.3 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.

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