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add_class_train_data_knnAddClassTrainDataKnnAddClassTrainDataKnnadd_class_train_data_knnT_add_class_train_data_knn🔗

Short description🔗

add_class_train_data_knnAddClassTrainDataKnnAddClassTrainDataKnnadd_class_train_data_knnT_add_class_train_data_knn — Add training data to a k-nearest neighbors (k-NN) classifier.

Signature🔗

add_class_train_data_knn( class_knn KNNHandle, class_train_data ClassTrainDataHandle )void AddClassTrainDataKnn( const HTuple& KNNHandle, const HTuple& ClassTrainDataHandle )static void HOperatorSet.AddClassTrainDataKnn( HTuple KNNHandle, HTuple classTrainDataHandle )def add_class_train_data_knn( knnhandle: HHandle, class_train_data_handle: HHandle ) -> None

Herror T_add_class_train_data_knn( const Htuple KNNHandle, const Htuple ClassTrainDataHandle )

void HClassKnn::AddClassTrainDataKnn( const HClassTrainData& ClassTrainDataHandle ) const

void HClassTrainData::AddClassTrainDataKnn( const HClassKnn& KNNHandle ) const

void HClassKnn.AddClassTrainDataKnn( HClassTrainData classTrainDataHandle )

void HClassTrainData.AddClassTrainDataKnn( HClassKnn KNNHandle )

Description🔗

add_class_train_data_knnAddClassTrainDataKnn adds the training data specified by ClassTrainDataHandleclassTrainDataHandleclass_train_data_handle to a k-nearest neighbors (k-NN) classifier specified by KNNHandleKNNHandleknnhandle.

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 modifies the state of the following input parameter:

During execution of this operator, access to the value of this parameter must be synchronized if it is used across multiple threads.

Parameters🔗

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

Handle of a k-NN which receives the training data.

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

Training data for a classifier.

Result🔗

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

Combinations with other operators🔗

Combinations

Possible predecessors

create_class_knnCreateClassKnn, create_class_train_dataCreateClassTrainData

Possible successors

get_sample_class_knnGetSampleClassKnn

Alternatives

add_sample_class_knnAddSampleClassKnn

See also

create_class_knnCreateClassKnn

Module🔗

Foundation