A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
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A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Models and examples built with TensorFlow
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