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| author | Joe Zhao <ztuowen@gmail.com> | 2015-05-15 18:30:29 +0800 |
|---|---|---|
| committer | Joe Zhao <ztuowen@gmail.com> | 2015-05-15 18:30:29 +0800 |
| commit | ff9d455740a4ec246da1a7942e962a700d3579ef (patch) | |
| tree | 3e156146949cdb8719f5578316d6736235bce464 | |
| parent | 4a9b3f837b1e5e6175d2f1d3fa718c7ddffce964 (diff) | |
| download | ranksvm-ff9d455740a4ec246da1a7942e962a700d3579ef.tar.gz ranksvm-ff9d455740a4ec246da1a7942e962a700d3579ef.tar.bz2 ranksvm-ff9d455740a4ec246da1a7942e962a700d3579ef.zip | |
updated qsize
| -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 3436cce..7e8b882 100644 --- a/model/ranksvmtn.cpp +++ b/model/ranksvmtn.cpp @@ -198,7 +198,7 @@ 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.getuSize(); + LOG(INFO) << "training with feature size:" << fsize << " Data size:" << n << " Query size:" << Data.getqSize(); VectorXd grad(fsize); VectorXd step(fsize); vector<int> rank(n); |