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ml: refactor non-virtual methods
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+3
-23
@@ -1250,7 +1250,7 @@ public:
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uncompressed_sv.release();
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}
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Mat getUncompressedSupportVectors_() const
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Mat getUncompressedSupportVectors() const CV_OVERRIDE
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{
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return uncompressed_sv;
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}
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@@ -1982,10 +1982,10 @@ public:
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bool returnDFVal;
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};
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bool trainAuto_(InputArray samples, int layout,
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bool trainAuto(InputArray samples, int layout,
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InputArray responses, int kfold, Ptr<ParamGrid> Cgrid,
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Ptr<ParamGrid> gammaGrid, Ptr<ParamGrid> pGrid, Ptr<ParamGrid> nuGrid,
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Ptr<ParamGrid> coeffGrid, Ptr<ParamGrid> degreeGrid, bool balanced)
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Ptr<ParamGrid> coeffGrid, Ptr<ParamGrid> degreeGrid, bool balanced) CV_OVERRIDE
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{
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Ptr<TrainData> data = TrainData::create(samples, layout, responses);
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return this->trainAuto(
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@@ -2353,26 +2353,6 @@ Ptr<SVM> SVM::load(const String& filepath)
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return svm;
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}
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Mat SVM::getUncompressedSupportVectors() const
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{
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const SVMImpl* this_ = dynamic_cast<const SVMImpl*>(this);
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if(!this_)
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CV_Error(Error::StsNotImplemented, "the class is not SVMImpl");
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return this_->getUncompressedSupportVectors_();
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}
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bool SVM::trainAuto(InputArray samples, int layout,
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InputArray responses, int kfold, Ptr<ParamGrid> Cgrid,
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Ptr<ParamGrid> gammaGrid, Ptr<ParamGrid> pGrid, Ptr<ParamGrid> nuGrid,
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Ptr<ParamGrid> coeffGrid, Ptr<ParamGrid> degreeGrid, bool balanced)
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{
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SVMImpl* this_ = dynamic_cast<SVMImpl*>(this);
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if (!this_) {
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CV_Error(Error::StsNotImplemented, "the class is not SVMImpl");
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}
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return this_->trainAuto_(samples, layout, responses,
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kfold, Cgrid, gammaGrid, pGrid, nuGrid, coeffGrid, degreeGrid, balanced);
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}
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}
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}
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