Operator Reference

HALCON Operator Reference / Classification / K-Nearest Neighbors

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add_class_train_data_knnT_add_class_train_data_knnAddClassTrainDataKnnAddClassTrainDataKnnadd_class_train_data_knn (Operator)

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 : )

Herror T_add_class_train_data_knn(const Htuple KNNHandle, const Htuple ClassTrainDataHandle)

void AddClassTrainDataKnn(const HTuple& KNNHandle, const HTuple& ClassTrainDataHandle)

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

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

static void HOperatorSet.AddClassTrainDataKnn(HTuple KNNHandle, HTuple classTrainDataHandle)

void HClassKnn.AddClassTrainDataKnn(HClassTrainData classTrainDataHandle)

void HClassTrainData.AddClassTrainDataKnn(HClassKnn KNNHandle)

def add_class_train_data_knn(knnhandle: HHandle, class_train_data_handle: HHandle) -> None

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 → HClassKnn, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

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

ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandleclass_train_data_handle (input_control)  class_train_data → HClassTrainData, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (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.

Possible Predecessors

create_class_knncreate_class_knnCreateClassKnnCreateClassKnncreate_class_knn, create_class_train_datacreate_class_train_dataCreateClassTrainDataCreateClassTrainDatacreate_class_train_data

Possible Successors

get_sample_class_knnget_sample_class_knnGetSampleClassKnnGetSampleClassKnnget_sample_class_knn

Alternatives

add_sample_class_knnadd_sample_class_knnAddSampleClassKnnAddSampleClassKnnadd_sample_class_knn

See also

create_class_knncreate_class_knnCreateClassKnnCreateClassKnncreate_class_knn

Module

Foundation

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ClassesClasses | | Operators