74db9757b3
* [R] MSVC compatibility * [GPU] allow seed in BernoulliRng up to size_t and scale to uint32_t * R package build with cmake and CUDA * R package CUDA build fixes and cleanups * always export the R package native initialization routine on windows * update the install instructions doc * fix lint * use static_cast directly to set BernoulliRng seed * [R] demo for GPU accelerated algorithm * tidy up the R package cmake stuff * R pack cmake: installs main dependency packages if needed * [R] version bump in DESCRIPTION * update NEWS * added short missing/sparse values explanations to FAQ
13 lines
805 B
Plaintext
13 lines
805 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 Cutomize 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 Tweddie Regression
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gpu_accelerated GPU-accelerated tree building algorithms |