47 lines
2.0 KiB
Markdown
47 lines
2.0 KiB
Markdown
XGBoost Examples
|
|
====
|
|
This folder contains all the code examples using xgboost.
|
|
|
|
* Contribution of examples, benchmarks is more than welcome!
|
|
* If you like to share how you use xgboost to solve your problem, send a pull request:)
|
|
|
|
Features Walkthrough
|
|
====
|
|
This is a list of short codes introducing different functionalities of xgboost and its wrapper.
|
|
* Basic walkthrough of wrappers
|
|
[python](guide-python/basic_walkthrough.py)
|
|
[R](../R-package/demo/basic_walkthrough.R)
|
|
[Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/basic_walkthrough.jl)
|
|
* Customize loss function, and evaluation metric
|
|
[python](guide-python/custom_objective.py)
|
|
[R](../R-package/demo/custom_objective.R)
|
|
[Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/custom_objective.jl)
|
|
* Boosting from existing prediction
|
|
[python](guide-python/boost_from_prediction.py)
|
|
[R](../R-package/demo/boost_from_prediction.R)
|
|
[Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/boost_from_prediction.jl)
|
|
* Predicting using first n trees
|
|
[python](guide-python/predict_first_ntree.py)
|
|
[R](../R-package/demo/boost_from_prediction.R)
|
|
[Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/boost_from_prediction.jl)
|
|
* Generalized Linear Model
|
|
[python](guide-python/generalized_linear_model.py)
|
|
[R](../R-package/demo/generalized_linear_model.R)
|
|
[Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/generalized_linear_model.jl)
|
|
* Cross validation
|
|
[python](guide-python/cross_validation.py)
|
|
[R](../R-package/demo/cross_validation.R)
|
|
[Julia](https://github.com/antinucleon/XGBoost.jl/blob/master/demo/cross_validation.jl)
|
|
|
|
Basic Examples by Tasks
|
|
====
|
|
* [Binary classification](binary_classification)
|
|
* [Multiclass classification](multiclass_classification)
|
|
* [Regression](regression)
|
|
* [Learning to Rank](rank)
|
|
|
|
Benchmarks
|
|
====
|
|
* [Starter script for Kaggle Higgs Boson](kaggle-higgs)
|
|
* [Kaggle Tradeshift winning solution by daxiongshu](https://github.com/daxiongshu/kaggle-tradeshift-winning-solution)
|