Public Member Functions |
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| CSVMPERF (int a=3) |
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void | SetLossFunction (size_t loss_f) |
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void | SetTradeoff (double tradeoff) |
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void | SetKernel (int K) |
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void | SetPolyD (int D) |
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void | UseCPSP () |
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void | SetRBFGamma (double g) |
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void | UseSlackRescaling () |
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void | UseMarginRescaling () |
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void | SetPrecisionFraction (double frac) |
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void | ReadModel (char *model_file) |
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void | WriteModel (char *model_file, int simple_model_flag=1) |
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void | WriteWeights (ostream &osm) |
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void | FreeModel () |
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void | SetVerbosity (size_t V) |
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vector< Result > | Classify (Sleipnir::CPCL &PCL, vector< SVMLabel > SVMLabels) |
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vector< Result > | Classify (Sleipnir::CPCLSet &PCLSet, vector< SVMLabel > SVMLabels) |
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vector< Result > | Classify (Sleipnir::CDat &Dat, vector< SVMLabel > SVMLabels) |
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void | Learn (SAMPLE &sample) |
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void | Classify (Sleipnir::CPCL &PCL, Sleipnir::CDat &Answers, Sleipnir::CDat &Values, Sleipnir::CDat &Counts, const vector< string > &CVGenes) |
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void | ClassifyAll (Sleipnir::CPCL &PCL, Sleipnir::CDat &Values, Sleipnir::CDat &Counts, const vector< string > &CVGenes) |
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void | ClassifyAll (Sleipnir::CPCL &PCL, Sleipnir::CDat &Values, const vector< string > &CVGenes) |
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bool | parms_check () |
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bool | initialize () |
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void | Classify (Sleipnir::CDat &Results, vector< SVMLabelPair * > &SVMLabels) |
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void | sigmoid_train (Sleipnir::CDat &Results, vector< SVMLabelPair * > &SVMLabels, float &A, float &B) |
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void | sigmoid_predict (Sleipnir::CDat &Results, vector< SVMLabelPair * > &SVMLabels, float A, float B) |
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void | ReadModelLinear (char *model_file) |
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STRUCTMODEL | read_struct_model_w_linear (char *file, STRUCT_LEARN_PARM *sparm) |
Static Public Member Functions |
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static void | FreePattern (pattern x) |
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static void | FreeLabel (label y) |
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static void | FreeSample (sample s) |
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static void | FreeDoc (DOC *pDoc) |
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static DOC * | CreateDoc (Sleipnir::CPCLSet &PCLSet, size_t iGene, size_t iDoc) |
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static DOC * | CreateDoc (Sleipnir::CPCL &PCL, size_t iGene, size_t iDoc) |
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static DOC * | CreateDoc (Sleipnir::CDat &Dat, size_t iGene, size_t iDoc) |
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static SAMPLE * | CreateSample (Sleipnir::CPCLSet &PCLSet, vector< SVMLabel > SVMLabels) |
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static SAMPLE * | CreateSample (Sleipnir::CPCL &PCL, vector< SVMLabel > SVMLabels) |
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static SAMPLE ** | CreateSampleBootStrap (Sleipnir::CPCL &PCL, vector< SVMLabel > &SVMLabels, vector< vector< size_t > > vecvecIndex) |
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static SAMPLE * | CreateSample (Sleipnir::CDat &CDat, vector< SVMLabel > SMVLabels) |
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static DOC * | CreateDoc (Sleipnir::CPCL &PCL, size_t iGene, size_t jGene, size_t iDoc) |
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static SAMPLE * | CreateSample (Sleipnir::CPCL &PCL, Sleipnir::CDat &Answers, const vector< string > &CVGenes) |
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static bool | CreateDoc (vector< string > &vecstrDatasets, vector< SVMLabelPair * > &vecLabels, const vector< string > &LabelsGene, Sleipnir::CDat::ENormalize eNormalize=Sleipnir::CDat::ENormalizeNone) |
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static SAMPLE * | CreateSample (vector< SVMLabelPair * > &SVMLabels) |
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static void | FreeSample_leave_Doc (SAMPLE s) |
Data Fields |
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LEARN_PARM | learn_parm |
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KERNEL_PARM | kernel_parm |
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STRUCT_LEARN_PARM | struct_parm |
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STRUCTMODEL | structmodel |
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int | Alg |
Definition at line 148 of file svmperf.h.
