ChefBoost

github.com

a lightweight decision tree framework for Python with categorical feature support covering regular decision tree algorithms such as ID3, C4.5, CART, CHAID and regression tree; also some advanced bagging and boosting techniques such as gradient boosting, random forest and adaboost.

Description

Specs

Type	Repository
Section	GitHub projects
Pricing	open source
Platform	Self-hosted
Systems	исходный код
Site language	en
GitHub	serengil/chefboost

Source code

serengil/chefboost

Found in sources

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