Name
get_sample_class_knnT_get_sample_class_knnGetSampleClassKnnget_sample_class_knnGetSampleClassKnnGetSampleClassKnn — Return a training sample from the training data of a k-nearest neighbors
(k-NN) classifier.
get_sample_class_knnget_sample_class_knnGetSampleClassKnnget_sample_class_knnGetSampleClassKnnGetSampleClassKnn reads a training sample from the
k-nearest neighbors (k-NN) classifier given by KNNHandleKNNHandleKNNHandleKNNHandleKNNHandleKNNHandle that was
added with add_sample_class_knnadd_sample_class_knnAddSampleClassKnnadd_sample_class_knnAddSampleClassKnnAddSampleClassKnn or
read_class_knnread_class_knnReadClassKnnread_class_knnReadClassKnnReadClassKnn. The index of the sample is
specified with IndexSampleIndexSampleIndexSampleIndexSampleIndexSampleindexSample. The index is counted from 0,
i.e., IndexSampleIndexSampleIndexSampleIndexSampleIndexSampleindexSample must be a number between 0 and
NumSamples - 1, where NumSamples can be
determined with get_sample_num_class_knnget_sample_num_class_knnGetSampleNumClassKnnget_sample_num_class_knnGetSampleNumClassKnnGetSampleNumClassKnn. The training
sample is returned in FeaturesFeaturesFeaturesFeaturesFeaturesfeatures and ClassIDClassIDClassIDClassIDClassIDclassID.
FeaturesFeaturesFeaturesFeaturesFeaturesfeatures is a feature vector of length
NumDim (see create_class_knncreate_class_knnCreateClassKnncreate_class_knnCreateClassKnnCreateClassKnn), while ClassIDClassIDClassIDClassIDClassIDclassID
is the class label, which is a number between 0 and the
number of classes.
- 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.
Index of the training sample.
Feature vector of the training sample.
Class of the training sample.
If the parameters are valid the operator
get_sample_class_knnget_sample_class_knnGetSampleClassKnnget_sample_class_knnGetSampleClassKnnGetSampleClassKnn returns the value 2 (H_MSG_TRUE). If necessary,
an exception is raised.
add_sample_class_train_dataadd_sample_class_train_dataAddSampleClassTrainDataadd_sample_class_train_dataAddSampleClassTrainDataAddSampleClassTrainData
create_class_knncreate_class_knnCreateClassKnncreate_class_knnCreateClassKnnCreateClassKnn
Foundation