16 lines
879 B
Plaintext
16 lines
879 B
Plaintext
basic_walkthrough Basic feature walkthrough
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caret_wrapper Use xgboost to train in caret library
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custom_objective Customize loss function, and evaluation metric
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boost_from_prediction Boosting from existing prediction
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predict_first_ntree Predicting using first n trees
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generalized_linear_model Generalized Linear Model
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cross_validation Cross validation
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create_sparse_matrix Create Sparse Matrix
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predict_leaf_indices Predicting the corresponding leaves
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early_stopping Early Stop in training
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poisson_regression Poisson regression on count data
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tweedie_regression Tweedie regression
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gpu_accelerated GPU-accelerated tree building algorithms
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interaction_constraints Interaction constraints among features
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