get_sample_class_train_data — Return a training sample from training data.
get_sample_class_train_data reads a training sample from the training data given by ClassTrainDataHandle that was added, e.g., with add_sample_class_train_data. The index of the sample is specified with IndexSample. The index is counted from 0. That means that IndexSample must be a number between 0 and NumSamples - 1, where NumSamples can be determined with get_sample_num_class_train_data. The training sample is returned in Features and ClassID. Features is a feature vector of length NumDim (see create_class_train_data) and ClassID is the class of the feature vector.
Handle of training data for a classifier.
Number of stored training sample.
Feature vector of the training sample.
Class of the training sample.
If the parameters are valid, the operator get_sample_class_mlp returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.