Name
get_sample_num_class_knnget_sample_num_class_knnGetSampleNumClassKnnget_sample_num_class_knnGetSampleNumClassKnnGetSampleNumClassKnn — Return the number of training samples stored in the training data of
a k-nearest neighbors (k-NN) classifier.
get_sample_num_class_knnget_sample_num_class_knnGetSampleNumClassKnnget_sample_num_class_knnGetSampleNumClassKnnGetSampleNumClassKnn returns in NumSamplesNumSamplesNumSamplesNumSamplesNumSamplesnumSamples the
number of training samples that are stored in the k-nearest neighbors
(k-NN) classifier given by KNNHandleKNNHandleKNNHandleKNNHandleKNNHandleKNNHandle.
get_sample_num_class_knnget_sample_num_class_knnGetSampleNumClassKnnget_sample_num_class_knnGetSampleNumClassKnnGetSampleNumClassKnn should be called before the
individual training samples are accessed with
get_sample_class_knnget_sample_class_knnGetSampleClassKnnget_sample_class_knnGetSampleClassKnnGetSampleClassKnn.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
Handle of the k-NN classifier.
Number of stored training samples.
If KNNHandleKNNHandleKNNHandleKNNHandleKNNHandleKNNHandle is valid, the operator
get_sample_num_class_knnget_sample_num_class_knnGetSampleNumClassKnnget_sample_num_class_knnGetSampleNumClassKnnGetSampleNumClassKnn returns the value 2 (H_MSG_TRUE). If
necessary, an exception is raised.
add_sample_class_knnadd_sample_class_knnAddSampleClassKnnadd_sample_class_knnAddSampleClassKnnAddSampleClassKnn
get_sample_class_knnget_sample_class_knnGetSampleClassKnnget_sample_class_knnGetSampleClassKnnGetSampleClassKnn
create_class_knncreate_class_knnCreateClassKnncreate_class_knnCreateClassKnnCreateClassKnn
Foundation