Lines Matching refs:missing
672 float* values, uchar* missing, float* responses, bool get_class_idx=false );
930 virtual float predict( const CvMat* sample, const CvMat* missing = 0 ) const;
931 virtual float predict_prob( const CvMat* sample, const CvMat* missing = 0 ) const;
938 CV_WRAP virtual float predict( const cv::Mat& sample, const cv::Mat& missing = cv::Mat() ) const;
939 CV_WRAP virtual float predict_prob( const cv::Mat& sample, const cv::Mat& missing = cv::Mat() ) const;
994 const float** ord_values, const int** missing, int* sample_buf = 0 );
998 virtual void get_vectors( const CvMat* _subsample_idx, float* values, uchar* missing,
1136 virtual float predict( const CvMat* sample, const CvMat* missing=0,
1153 CV_WRAP virtual float predict( const cv::Mat& sample, const cv::Mat& missing=cv::Mat(),
1269 // missing - mask of the missing values in the training set. This
1270 // matrix has the same size as train_data. 1 - missing
1271 // value, 0 - not a missing value.
1361 // missingDataMask = 0 means that there are no missing
1411 // missingDataMask = 0 means that there are no missing
1452 // virtual float predict_serial( const CvMat* sample, const CvMat* missing=0,
1458 // missing - missing values mask. missing=0 if there are no
1459 // missing values in sample vector.
1475 virtual float predict_serial( const CvMat* sample, const CvMat* missing=0,
1484 // virtual float predict( const CvMat* sample, const CvMat* missing=0,
1490 // missing - missing values mask. missing=0 if there are no
1491 // missing values in sample vector.
1507 virtual float predict( const CvMat* sample, const CvMat* missing=0,
1521 // sample_idx, missing, lass_labels
1592 CV_WRAP virtual float predict( const cv::Mat& sample, const cv::Mat& missing=cv::Mat(),
1767 CvMat* missing;
2008 CvMat* missing;
