clean up
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@ -35,9 +35,3 @@ Build
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* Possible way to build using Visual Studio (not tested):
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* Possible way to build using Visual Studio (not tested):
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- In principle, you can put src/xgboost.cpp and src/io/io.cpp into the project, and build xgboost.
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- In principle, you can put src/xgboost.cpp and src/io/io.cpp into the project, and build xgboost.
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- For python module, you need python/xgboost_wrapper.cpp and src/io/io.cpp to build a dll.
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- For python module, you need python/xgboost_wrapper.cpp and src/io/io.cpp to build a dll.
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Using XGBoost in Graphlab Create
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=====
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* Graphlab Create (GLC) is a scalable machine learning toolkit that allows you to deal with big data in python
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* 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).
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