add_class_train_data_mlpT_add_class_train_data_mlpAddClassTrainDataMlpAddClassTrainDataMlp (Operator)

Name

add_class_train_data_mlpT_add_class_train_data_mlpAddClassTrainDataMlpAddClassTrainDataMlp — Add training data to a multilayer perceptron (MLP).

Signature

add_class_train_data_mlp( : : MLPHandle, ClassTrainDataHandle : )

Description

add_class_train_data_mlpadd_class_train_data_mlpAddClassTrainDataMlpAddClassTrainDataMlpAddClassTrainDataMlp adds the training data specified by ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandle to a multilayer perceptron (MLP) specified by MLPHandleMLPHandleMLPHandleMLPHandleMLPHandle.

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:

MLPHandleMLPHandleMLPHandleMLPHandleMLPHandle

The value of this parameter may not be shared across multiple threads without external synchronization.

Parameters

MLPHandleMLPHandleMLPHandleMLPHandleMLPHandle (input_control, state is modified) class_mlp → (handle)

MLP handle which receives the training data.

ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandle (input_control) class_train_data → (handle)

Training data for a classifier.

Result

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