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| author | Joe Zhao <ztuowen@gmail.com> | 2015-05-25 12:48:14 +0800 |
|---|---|---|
| committer | Joe Zhao <ztuowen@gmail.com> | 2015-05-25 12:48:14 +0800 |
| commit | 52b6b61d62b717b35af0c576733c7a305265c7d7 (patch) | |
| tree | ac6d04d30002e2c1722477a6a462dc3956f78320 /model | |
| parent | 6877bbb4a9d162d0d4336bca8f74c35ca062a347 (diff) | |
| download | ranksvm-52b6b61d62b717b35af0c576733c7a305265c7d7.tar.gz ranksvm-52b6b61d62b717b35af0c576733c7a305265c7d7.tar.bz2 ranksvm-52b6b61d62b717b35af0c576733c7a305265c7d7.zip | |
full pairs cont.
Diffstat (limited to 'model')
| -rw-r--r-- | model/ranksvmtn.cpp | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/model/ranksvmtn.cpp b/model/ranksvmtn.cpp index 5916170..9beed65 100644 --- a/model/ranksvmtn.cpp +++ b/model/ranksvmtn.cpp @@ -212,7 +212,7 @@ int train_orig(int fsize, RidList &Data,const VectorXd &corr,VectorXd &weight){ int iter = 0; long n=Data.getSize(); - LOG(INFO) << "training with feature size:" << fsize << " Data size:" << n << " Query size:" << Data.getqSize(); + LOG(INFO) << "training with feature size:" << fsize << " Data size:" << Data.getSize() << " Query size:" << Data.getqSize(); VectorXd grad(fsize); VectorXd step(fsize); vector<int> rank(n); |