History

* modify test_helper.R

* fix noLD

* update desc

* fix solaris test

* fix desc

* improve fix

* fix url

* change Matrix cBind to cbind

* fix

* fix error in demo

* fix examples

2018-03-28 10:05:47 -07:00

00Index

[R] maintenance Nov 2017; SHAP plots (#2888 )

2017-12-05 09:45:34 -08:00

basic_walkthrough.R

[R] adopt demos and vignettes to a more consistent parameter style

2016-06-27 02:00:39 -05:00

boost_from_prediction.R

[R] adopt demos and vignettes to a more consistent parameter style

2016-06-27 02:00:39 -05:00

caret_wrapper.R

in caret settings, if you want do 10*10 cross validation, you need to set repeats=10, number=10 and method=repeatedcv, (#2061 )

2017-02-25 09:16:19 -05:00

create_sparse_matrix.R

[R] adopt demos and vignettes to a more consistent parameter style

2016-06-27 02:00:39 -05:00

cross_validation.R

[R] adopt demos and vignettes to a more consistent parameter style

2016-06-27 02:00:39 -05:00

custom_objective.R

[R] adopt demos and vignettes to a more consistent parameter style

2016-06-27 02:00:39 -05:00

early_stopping.R

[R] adopt demos and vignettes to a more consistent parameter style

2016-06-27 02:00:39 -05:00

generalized_linear_model.R

To submit to CRAN we cannot use more than 2 threads in our examples/vignettes

2015-03-03 00:21:24 -08:00

gpu_accelerated.R

[R package] GPU support (#2732 )

2017-09-28 18:15:28 -05:00

poisson_regression.R

add poisson demo

2015-05-11 15:21:54 -07:00

predict_first_ntree.R

[R] adopt demos and vignettes to a more consistent parameter style

2016-06-27 02:00:39 -05:00

predict_leaf_indices.R

Replace cBind by cbind (#3203 )

2018-03-28 10:05:47 -07:00

README.md

[R package] GPU support (#2732 )

2017-09-28 18:15:28 -05:00

runall.R

[R package] GPU support (#2732 )

2017-09-28 18:15:28 -05:00

tweedie_regression.R

Tweedie Regression Post-Rebase (#1737 )

2016-11-05 17:02:32 -07:00

README.md

XGBoost R Feature Walkthrough

Benchmarks

Starter script for Kaggle Higgs Boson

Notes

Contribution of examples, benchmarks is more than welcomed!
If you like to share how you use xgboost to solve your problem, send a pull request:)