Files

Tong He 2f3958a455 Fix for CRAN Submission (#1826 )

* fix cran check

* change required R version because of utils::globalVariables

* temporary commit, monotone not working

* fix test

* fix doc

* fix doc

* fix cran note and warning

* improve checks

* fix urls

2016-12-02 20:19:03 -08:00

00Index

Fix for CRAN Submission (#1826 )

2016-12-02 20:19:03 -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

ENH: More comments and explanation on demo using xgboost from caret

2015-09-10 23:41:36 -04:00

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

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

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

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

README.md

DOC: Added caret_wrapper.R link into demo/README.md

2015-09-10 23:23:30 -04:00

runall.R

Fix for CRAN Submission (#1826 )

2016-12-02 20:19:03 -08:00

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:)