Skip to content

get_class_train_data_knnGetClassTrainDataKnnGetClassTrainDataKnnget_class_train_data_knnT_get_class_train_data_knn🔗

Short description🔗

get_class_train_data_knnGetClassTrainDataKnnGetClassTrainDataKnnget_class_train_data_knnT_get_class_train_data_knn — Get the training data of a k-nearest neighbors (k-NN) classifier.

Signature🔗

get_class_train_data_knn( class_knn KNNHandle, out class_train_data ClassTrainDataHandle )void GetClassTrainDataKnn( const HTuple& KNNHandle, HTuple* ClassTrainDataHandle )static void HOperatorSet.GetClassTrainDataKnn( HTuple KNNHandle, out HTuple classTrainDataHandle )def get_class_train_data_knn( knnhandle: HHandle ) -> HHandle

Herror T_get_class_train_data_knn( const Htuple KNNHandle, Htuple* ClassTrainDataHandle )

HClassTrainData HClassKnn::GetClassTrainDataKnn( ) const

void HClassTrainData::GetClassTrainDataKnn( const HClassKnn& KNNHandle )

HClassTrainData HClassKnn.GetClassTrainDataKnn( )

void HClassTrainData.GetClassTrainDataKnn( HClassKnn KNNHandle )

Description🔗

get_class_train_data_knnGetClassTrainDataKnn gets the training data of a k-nearest neighbors (k-NN) classifier and returns it in ClassTrainDataHandleclassTrainDataHandleclass_train_data_handle.

Execution information🔗

Execution information

  • Multithreading type: reentrant (runs in parallel with non-exclusive operators).

  • Multithreading scope: global (may be called from any thread).

  • Processed without parallelization.

This operator returns a handle. Note that the state of an instance of this handle type may be changed by specific operators even though the handle is used as an input parameter by those operators.

Parameters🔗

KNNHandleKNNHandleknnhandle (input_control) class_knn → (handle)HTuple (HHandle)HClassKnn, HTuple (IntPtr)HHandleHtuple (handle)

Handle of the k-NN classifier that contains training data.

ClassTrainDataHandleclassTrainDataHandleclass_train_data_handle (output_control) class_train_data → (handle)HTuple (HHandle)HClassTrainData, HTuple (IntPtr)HHandleHtuple (handle)

Handle of the training data of the classifier.

Result🔗

If the parameters are valid, the operator get_class_train_data_knnGetClassTrainDataKnn returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.

Combinations with other operators🔗

Combinations

Possible predecessors

add_sample_class_knnAddSampleClassKnn

Possible successors

add_class_train_data_svmAddClassTrainDataSvm, add_class_train_data_gmmAddClassTrainDataGmm, add_class_train_data_knnAddClassTrainDataKnn

See also

create_class_train_dataCreateClassTrainData

Module🔗

Foundation