add_class_train_data_mlpT_add_class_train_data_mlpAddClassTrainDataMlpAddClassTrainDataMlpadd_class_train_data_mlp (Operator)

Name

add_class_train_data_mlpT_add_class_train_data_mlpAddClassTrainDataMlpAddClassTrainDataMlpadd_class_train_data_mlp — 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_mlpAddClassTrainDataMlpAddClassTrainDataMlpAddClassTrainDataMlpadd_class_train_data_mlp adds the training data specified by ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandleclass_train_data_handle to a multilayer perceptron (MLP) specified by MLPHandleMLPHandleMLPHandleMLPHandleMLPHandlemlphandle.

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:

MLPHandleMLPHandleMLPHandleMLPHandleMLPHandlemlphandle

During execution of this operator, access to the value of this parameter must be synchronized if it is used across multiple threads.

Parameters

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

MLP handle which receives the training data.

ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandleclass_train_data_handle (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_mlpAddClassTrainDataMlpAddClassTrainDataMlpAddClassTrainDataMlpadd_class_train_data_mlp returns the value TRUE. If necessary, an exception is raised.