Name
get_class_train_data_knnget_class_train_data_knnGetClassTrainDataKnnget_class_train_data_knnGetClassTrainDataKnnGetClassTrainDataKnn — Get the training data of a k-nearest neighbors (k-NN) classifier.
get_class_train_data_knnget_class_train_data_knnGetClassTrainDataKnnget_class_train_data_knnGetClassTrainDataKnnGetClassTrainDataKnn gets the training data of a
k-nearest neighbors (k-NN) classifier and returns it in
ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandle.
- 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.
Handle of the k-NN classifier
that contains training data.
Handle of the training data of the classifier.
If the parameters are valid, the operator
get_class_train_data_knnget_class_train_data_knnGetClassTrainDataKnnget_class_train_data_knnGetClassTrainDataKnnGetClassTrainDataKnn
returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.
add_sample_class_knnadd_sample_class_knnAddSampleClassKnnadd_sample_class_knnAddSampleClassKnnAddSampleClassKnn
add_class_train_data_svmadd_class_train_data_svmAddClassTrainDataSvmadd_class_train_data_svmAddClassTrainDataSvmAddClassTrainDataSvm,
add_class_train_data_gmmadd_class_train_data_gmmAddClassTrainDataGmmadd_class_train_data_gmmAddClassTrainDataGmmAddClassTrainDataGmm,
add_class_train_data_knnadd_class_train_data_knnAddClassTrainDataKnnadd_class_train_data_knnAddClassTrainDataKnnAddClassTrainDataKnn
create_class_train_datacreate_class_train_dataCreateClassTrainDatacreate_class_train_dataCreateClassTrainDataCreateClassTrainData
Foundation