20 lines
764 B
Markdown
20 lines
764 B
Markdown
XGBoost R Feature Walkthrough
|
|
====
|
|
* [Basic walkthrough of wrappers](basic_walkthrough.R)
|
|
* [Customize loss function, and evaluation metric](custom_objective.R)
|
|
* [Boosting from existing prediction](boost_from_prediction.R)
|
|
* [Predicting using first n trees](predict_first_ntree.R)
|
|
* [Generalized Linear Model](generalized_linear_model.R)
|
|
* [Cross validation](cross_validation.R)
|
|
* [Create a sparse matrix from a dense one](create_sparse_matrix.R)
|
|
* [Use GPU-accelerated tree building algorithms](gpu_accelerated.R)
|
|
|
|
Benchmarks
|
|
====
|
|
* [Starter script for Kaggle Higgs Boson](../../demo/kaggle-higgs)
|
|
|
|
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 :)
|