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Tianqi Chen 2014-03-20 23:12:16 -07:00
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@ -2,9 +2,9 @@ xgboost: eXtreme Gradient Boosting
======= =======
An efficient general purpose gradient boosting (tree) library. An efficient general purpose gradient boosting (tree) library.
Creater: Tianqi Chen Creater: Tianqi Che
Documentation: https://github.com/tqchen/xgboost/wiki Turorial and Documentation: https://github.com/tqchen/xgboost/wiki
Features Features
@ -15,7 +15,7 @@ Features
- 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 generic tasks, see project wiki.
Planned key components Supported key components
======= =======
* Gradient boosting models: * Gradient boosting models:
- regression tree (GBRT) - regression tree (GBRT)
@ -23,10 +23,14 @@ Planned key components
* Objectives to support tasks: * Objectives to support tasks:
- regression - regression
- classification - classification
* OpenMP implementation
Planned components
=======
* More objective to support tasks:
- ranking - ranking
- matrix factorization - matrix factorization
- structured prediction - structured prediction
(3) OpenMP implementation
File extension convention: File extension convention:
(1) .h are interface, utils and data structures, with detailed comment; (1) .h are interface, utils and data structures, with detailed comment;