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tqchen 2014-08-22 16:51:27 -07:00
parent bf71cf52be
commit 37b707e110

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@ -35,9 +35,3 @@ Build
* Possible way to build using Visual Studio (not tested): * Possible way to build using Visual Studio (not tested):
- In principle, you can put src/xgboost.cpp and src/io/io.cpp into the project, and build xgboost. - In principle, you can put src/xgboost.cpp and src/io/io.cpp into the project, and build xgboost.
- For python module, you need python/xgboost_wrapper.cpp and src/io/io.cpp to build a dll. - For python module, you need python/xgboost_wrapper.cpp and src/io/io.cpp to build a dll.
Using XGBoost in Graphlab Create
=====
* Graphlab Create (GLC) is a scalable machine learning toolkit that allows you to deal with big data in python
* XGBoost is adopted by boosted tree library in GLC. The GLC version allows you to do feature engineering, hyper-parameter searching and visualization in one framework. See the nice blogpost about [predicting bike sharing demand](http://blog.graphlab.com/using-gradient-boosted-trees-to-predict-bike-sharing-demand).