add_class_train_data_knnT_add_class_train_data_knnAddClassTrainDataKnnAddClassTrainDataKnnadd_class_train_data_knn (Operator)

Name

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

Signature

add_class_train_data_knn( : : KNNHandle, ClassTrainDataHandle : )

Description

add_class_train_data_knnadd_class_train_data_knnAddClassTrainDataKnnAddClassTrainDataKnnadd_class_train_data_knn adds the training data specified by ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandleclass_train_data_handle to a k-nearest neighbors (k-NN) classifier specified by KNNHandleKNNHandleKNNHandleKNNHandleknnhandle.

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:

KNNHandleKNNHandleKNNHandleKNNHandleknnhandle

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

Parameters

KNNHandleKNNHandleKNNHandleKNNHandleknnhandle (input_control, state is modified) class_knn → (handle)

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

ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandleclass_train_data_handle (input_control) class_train_data → (handle)

Training data for a classifier.

Result

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