Name
add_class_train_data_knnadd_class_train_data_knnAddClassTrainDataKnnadd_class_train_data_knnAddClassTrainDataKnnAddClassTrainDataKnn — Add training data to a k-nearest neighbors (k-NN) classifier.
add_class_train_data_knnadd_class_train_data_knnAddClassTrainDataKnnadd_class_train_data_knnAddClassTrainDataKnnAddClassTrainDataKnn adds the training data specified by
ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandle to a k-nearest neighbors (k-NN) classifier
specified by KNNHandleKNNHandleKNNHandleKNNHandleKNNHandleKNNHandle.
- 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:
The value of this parameter may not be shared across multiple threads without external synchronization.
Handle of a k-NN which receives the
training data.
Training data for a classifier.
If the parameters are valid, the operator
add_class_train_data_knnadd_class_train_data_knnAddClassTrainDataKnnadd_class_train_data_knnAddClassTrainDataKnnAddClassTrainDataKnn
returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.
create_class_knncreate_class_knnCreateClassKnncreate_class_knnCreateClassKnnCreateClassKnn,
create_class_train_datacreate_class_train_dataCreateClassTrainDatacreate_class_train_dataCreateClassTrainDataCreateClassTrainData
get_sample_class_knnget_sample_class_knnGetSampleClassKnnget_sample_class_knnGetSampleClassKnnGetSampleClassKnn
add_sample_class_knnadd_sample_class_knnAddSampleClassKnnadd_sample_class_knnAddSampleClassKnnAddSampleClassKnn
create_class_knncreate_class_knnCreateClassKnncreate_class_knnCreateClassKnnCreateClassKnn
Foundation