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tqchen 2014-05-15 14:25:44 -07:00
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xgboost: eXtreme Gradient Boosting xgboost: eXtreme Gradient Boosting
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A General purpose gradient boosting (tree) library. An optimized general purpose gradient boosting (tree) library.
Authors: Authors:
* Tianqi Chen, project creater * Tianqi Chen, project creater
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- Sparse feature format allows easy handling of missing values, and improve computation efficiency. - Sparse feature format allows easy handling of missing values, and improve computation efficiency.
* Push the limit on single machine: * Push the limit on single machine:
- Efficient implementation that optimizes memory and computation. - Efficient implementation that optimizes memory and computation.
* Layout of gradient boosting algorithm to support generic tasks, see project wiki. * Layout of gradient boosting algorithm to support user defined objective
* Python interface, works with numpy and scipy.sparse matrix
Supported key components Supported key components
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