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| author | Joe Zhao <ztuowen@gmail.com> | 2015-05-13 18:56:39 +0800 |
|---|---|---|
| committer | Joe Zhao <ztuowen@gmail.com> | 2015-05-13 18:56:39 +0800 |
| commit | 52ca742e14e36cd37010bae9a7678dd5b1a7eaf5 (patch) | |
| tree | e76674e9ae78764de175f57d7a3bb162c6ac0ed4 /model/ranksvm.h | |
| parent | 20587ac550cfcb2d7b3d6ec16e46ba1a8d0af869 (diff) | |
| download | ranksvm-52ca742e14e36cd37010bae9a7678dd5b1a7eaf5.tar.gz ranksvm-52ca742e14e36cd37010bae9a7678dd5b1a7eaf5.tar.bz2 ranksvm-52ca742e14e36cd37010bae9a7678dd5b1a7eaf5.zip | |
branched for mem
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 aa5e1ca..58cd7f0 100644 --- a/model/ranksvm.h +++ b/model/ranksvm.h @@ -25,7 +25,7 @@ protected: SVMModel model; int fsize; public: - virtual int train(DataList &D)=0; + virtual int train(RidList &D)=0; virtual int predict(DataList &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. |