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add_class_train_data_mlpAddClassTrainDataMlpAddClassTrainDataMlpadd_class_train_data_mlpT_add_class_train_data_mlp🔗

Short description🔗

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

Signature🔗

add_class_train_data_mlp( class_mlp MLPHandle, class_train_data ClassTrainDataHandle )void AddClassTrainDataMlp( const HTuple& MLPHandle, const HTuple& ClassTrainDataHandle )static void HOperatorSet.AddClassTrainDataMlp( HTuple MLPHandle, HTuple classTrainDataHandle )def add_class_train_data_mlp( mlphandle: HHandle, class_train_data_handle: HHandle ) -> None

Herror T_add_class_train_data_mlp( const Htuple MLPHandle, const Htuple ClassTrainDataHandle )

void HClassMlp::AddClassTrainDataMlp( const HClassTrainData& ClassTrainDataHandle ) const

void HClassTrainData::AddClassTrainDataMlp( const HClassMlp& MLPHandle ) const

void HClassMlp.AddClassTrainDataMlp( HClassTrainData classTrainDataHandle )

void HClassTrainData.AddClassTrainDataMlp( HClassMlp MLPHandle )

Description🔗

add_class_train_data_mlpAddClassTrainDataMlp adds the training data specified by ClassTrainDataHandleclassTrainDataHandleclass_train_data_handle to a multilayer perceptron (MLP) specified by MLPHandleMLPHandlemlphandle.

Execution information🔗

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:

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

Parameters🔗

MLPHandleMLPHandlemlphandle (input_control, state is modified) class_mlp → (handle)HTuple (HHandle)HClassMlp, HTuple (IntPtr)HHandleHtuple (handle)

MLP handle which receives the training data.

ClassTrainDataHandleclassTrainDataHandleclass_train_data_handle (input_control) class_train_data → (handle)HTuple (HHandle)HClassTrainData, HTuple (IntPtr)HHandleHtuple (handle)

Training data for a classifier.

Result🔗

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

Combinations with other operators🔗

Combinations

Possible predecessors

create_class_mlpCreateClassMlp, create_class_train_dataCreateClassTrainData

Possible successors

get_sample_class_mlpGetSampleClassMlp

Alternatives

add_sample_class_mlpAddSampleClassMlp

See also

create_class_mlpCreateClassMlp

Module🔗

Foundation