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@ -252,8 +252,8 @@ void CvDTreeTrainData::set_data( const CvMat* _train_data, int _tflag, |
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"floating-point vector containing as many elements as " |
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"the total number of samples in the training data matrix" ); |
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CV_CALL( var_type0 = cvPreprocessVarType( _var_type, var_idx, var_count, &r_type )); |
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if( _var_type ) |
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CV_CALL( var_type0 = cvPreprocessVarType( _var_type, var_idx, var_count, &r_type )); |
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CV_CALL( var_type = cvCreateMat( 1, var_count+2, CV_32SC1 )); |
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@ -266,8 +266,8 @@ void CvDTreeTrainData::set_data( const CvMat* _train_data, int _tflag, |
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// step 0. calc the number of categorical vars
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for( vi = 0; vi < var_count; vi++ ) |
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{ |
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var_type->data.i[vi] = var_type0->data.ptr[vi] == CV_VAR_CATEGORICAL ? |
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cat_var_count++ : ord_var_count--; |
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char vt = var_type0 ? var_type0->data.ptr[vi] : CV_VAR_ORDERED; |
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var_type->data.i[vi] = vt == CV_VAR_CATEGORICAL ? cat_var_count++ : ord_var_count--; |
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} |
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ord_var_count = ~ord_var_count; |
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