Method: OpenCV::CvERTrees#train

Defined in:
lib/ruby/ropencv/ropencv_types.rb

#train(train_data, tflag, responses, var_idx = Cv::Mat.new(), sample_idx = Cv::Mat.new(), var_type = Cv::Mat.new(), missing_data_mask = Cv::Mat.new(), params = CvRTParams.new()) ⇒ Object

methods wrapper for bool CvERTrees::train(const cv::Mat trainData, int tflag, const cv::Mat responses, const cv::Mat varIdx=cv::Mat(), const cv::Mat sampleIdx=cv::Mat(), const cv::Mat varType=cv::Mat(), const cv::Mat missingDataMask=cv::Mat(), const CvRTParams params=CvRTParams())



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# File 'lib/ruby/ropencv/ropencv_types.rb', line 21000

def train(train_data, tflag, responses, var_idx = Cv::Mat.new(), sample_idx = Cv::Mat.new(), var_type = Cv::Mat.new(), missing_data_mask = Cv::Mat.new(), params = CvRTParams.new())
    Rbind::cver_trees_train( self, train_data, tflag, responses, var_idx, sample_idx, var_type, missing_data_mask, params)
end