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A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
Created
2017-07-18
48,930 commits to master branch, last one 21 hours ago
This repository has no description...
Created
2015-12-17
59 commits to master branch, last one 4 years ago
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical ...
Created
2019-03-06
404 commits to master branch, last one about a month ago
Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
Created
2021-12-29
91 commits to main branch, last one 2 years ago