add_class_train_data_mlpadd_class_train_data_mlpAddClassTrainDataMlpadd_class_train_data_mlpAddClassTrainDataMlpAddClassTrainDataMlp (Operator)

Name

add_class_train_data_mlpadd_class_train_data_mlpAddClassTrainDataMlpadd_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_mlpAddClassTrainDataMlpadd_class_train_data_mlpAddClassTrainDataMlpAddClassTrainDataMlp adds the training data specified by ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandle to a multilayer perceptron (MLP) specified by MLPHandleMLPHandleMLPHandleMLPHandleMLPHandleMLPHandle.

Parallelization

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:

MLPHandleMLPHandleMLPHandleMLPHandleMLPHandleMLPHandle

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

Parameters

MLPHandleMLPHandleMLPHandleMLPHandleMLPHandleMLPHandle (input_control, state is modified) class_mlp → (integer)

MLP handle which receives the training data.

ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandle (input_control) class_train_data → (integer)

Training data for a classifier.

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