From 58cbfa06920c6c044ce43cc9e0755cb8646d1aab Mon Sep 17 00:00:00 2001 From: Tianqi Chen Date: Fri, 16 May 2014 20:41:05 -0700 Subject: [PATCH 1/4] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c7e22d706..c8d57105c 100644 --- a/README.md +++ b/README.md @@ -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](../blob/master/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 From 32a33710737b0f239465f4f74c02e0770b357f6f Mon Sep 17 00:00:00 2001 From: Tianqi Chen Date: Fri, 16 May 2014 20:41:21 -0700 Subject: [PATCH 2/4] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c8d57105c..b32ddbc18 100644 --- a/README.md +++ b/README.md @@ -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/master/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 From 4218c1ef53d2a8902ad650525eaa155cdb0c3f8a Mon Sep 17 00:00:00 2001 From: Tianqi Chen Date: Fri, 16 May 2014 20:41:43 -0700 Subject: [PATCH 3/4] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index b32ddbc18..c8d57105c 100644 --- a/README.md +++ b/README.md @@ -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/master/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 From 4dadc766527f3be034e9cc97a447a5295fc08f87 Mon Sep 17 00:00:00 2001 From: Tianqi Chen Date: Fri, 16 May 2014 20:41:59 -0700 Subject: [PATCH 4/4] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c8d57105c..659f8d5fa 100644 --- a/README.md +++ b/README.md @@ -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