GitHub - catboost/catboost: 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 computation on CPU and GPU.

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2017/07/20 リンク

braitom “CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R”

2017/07/19 リンク

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<iframe marginwidth="0" marginheight="0" src="https://b.hatena.ne.jp/entry.parts?url=https%3A%2F%2Fgithub.com%2Fcatboost%2Fcatboost" scrolling="no" frameborder="0" height="230" width="500"><div class="hatena-bookmark-detail-info"><a href="https://github.com/catboost/catboost">GitHub - catboost/catboost: 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 computation on CPU and GPU.</a><a href="https://b.hatena.ne.jp/entry/s/github.com/catboost/catboost">はてなブックマーク - GitHub - catboost/catboost: 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 computation on CPU and GPU.</a></div></iframe>

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GitHub - catboost/catboost: 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 computation on CPU and GPU.

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