Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Tianqi Chen 2014-05-16 20:41:59 -07:00
parent 4218c1ef53
commit 4dadc76652
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@ -16,7 +16,7 @@ Features
* Push the limit on single machine:
- Efficient implementation that optimizes memory and computation.
* Speed: XGBoost is very fast
- IN [demo/higgs/speedtest.py](../demo/kaggle-higgs/speedtest.py), kaggle higgs data it is faster(on our machine 20 times faster using 4 threads) than sklearn.ensemble.GradientBoostingClassifier
- IN [demo/higgs/speedtest.py](demo/kaggle-higgs/speedtest.py), kaggle higgs data it is faster(on our machine 20 times faster using 4 threads) than sklearn.ensemble.GradientBoostingClassifier
* Layout of gradient boosting algorithm to support user defined objective
* Python interface, works with numpy and scipy.sparse matrix