28 lines
1.1 KiB
Markdown
28 lines
1.1 KiB
Markdown
XGBoost Examples
|
|
====
|
|
This folder contains the all example codes using xgboost.
|
|
|
|
* Contribution of exampls, benchmarks is more than welcomed!
|
|
* 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)
|
|
* Cutomize loss function, and evaluation metric [python](guide-python/custom_objective.py)
|
|
* Boosting from existing prediction [python](guide-python/boost_from_prediction.py)
|
|
* Predicting using first n trees [python](guide-python/predict_first_ntree.py)
|
|
* Generalized Linear Model [python](guide-python/generalized_linear_model.py)
|
|
* Cross validation [python](guide-python/cross_validation.py)
|
|
|
|
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)
|