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author | Joe Zhao <ztuowen@gmail.com> | 2015-05-18 22:22:11 +0800 |
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committer | Joe Zhao <ztuowen@gmail.com> | 2015-05-18 22:22:11 +0800 |
commit | def2bcd3f41a36e52b179aa435c5bf29c94dab5e (patch) | |
tree | eaf8673aa3d682e5d29f88f56fe5d38892de7858 /model/ranksvm.h | |
parent | d2b066e22c6d76928fc037bd858f1baa082a8fe1 (diff) | |
download | ranksvm-def2bcd3f41a36e52b179aa435c5bf29c94dab5e.tar.gz ranksvm-def2bcd3f41a36e52b179aa435c5bf29c94dab5e.tar.bz2 ranksvm-def2bcd3f41a36e52b179aa435c5bf29c94dab5e.zip |
added openmp directivesingle
Diffstat (limited to 'model/ranksvm.h')
-rw-r--r-- | model/ranksvm.h | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/model/ranksvm.h b/model/ranksvm.h index 9051343..20bb35a 100644 --- a/model/ranksvm.h +++ b/model/ranksvm.h @@ -26,7 +26,7 @@ protected: int fsize; public: virtual int train(RidList &D)=0; - virtual int predict(DataList &D,std::vector<double> &res)=0; + virtual int predict(RidList &D,std::vector<double> &res)=0; // TODO Not sure how to construct this // Possible solution: generate a nxn matrix each row contains the sorted list of ranker result. int saveModel(const std::string fname); |