fixing issue #4969 of Itseez/opencv.
Someone forgot to wrap the load function for SVMs in the corresponding ml python module. Fixed that.
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@@ -719,6 +719,10 @@ public:
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Use StatModel::train to train the model. Since %SVM has several parameters, you may want to
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find the best parameters for your problem, it can be done with SVM::trainAuto. */
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CV_WRAP static Ptr<SVM> create();
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CV_WRAP virtual void read( const FileNode& fn ) = 0;
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CV_WRAP static Ptr<SVM> load(const String& fs);
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};
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/****************************************************************************************\
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