Operator Reference

HALCON Operator Reference / Classification / Neural Nets

• HDevelop
• .NET
• Python
• C++
• C

ClassesClasses | | Operators

add_class_train_data_mlpT_add_class_train_data_mlpAddClassTrainDataMlpAddClassTrainDataMlpadd_class_train_data_mlp (Operator)

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 : )

Herror T_add_class_train_data_mlp(const Htuple MLPHandle, const Htuple ClassTrainDataHandle)

void AddClassTrainDataMlp(const HTuple& MLPHandle, const HTuple& ClassTrainDataHandle)

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

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

static void HOperatorSet.AddClassTrainDataMlp(HTuple MLPHandle, HTuple classTrainDataHandle)

void HClassMlp.AddClassTrainDataMlp(HClassTrainData classTrainDataHandle)

void HClassTrainData.AddClassTrainDataMlp(HClassMlp MLPHandle)

def add_class_train_data_mlp(mlphandle: HHandle, class_train_data_handle: HHandle) -> None

Description

add_class_train_data_mlpadd_class_train_data_mlpAddClassTrainDataMlpAddClassTrainDataMlpadd_class_train_data_mlp adds the training data specified by ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandleclass_train_data_handle 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

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

Parameters

MLPHandleMLPHandleMLPHandleMLPHandlemlphandle (input_control, state is modified)  class_mlp → HClassMlp, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

MLP handle which receives the training data.

ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandleclass_train_data_handle (input_control)  class_train_data → HClassTrainData, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Training data for a classifier.

Result

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

Possible Predecessors

create_class_mlpcreate_class_mlpCreateClassMlpCreateClassMlpcreate_class_mlp, create_class_train_datacreate_class_train_dataCreateClassTrainDataCreateClassTrainDatacreate_class_train_data

Possible Successors

get_sample_class_mlpget_sample_class_mlpGetSampleClassMlpGetSampleClassMlpget_sample_class_mlp

Alternatives

add_sample_class_mlpadd_sample_class_mlpAddSampleClassMlpAddSampleClassMlpadd_sample_class_mlp

See also

create_class_mlpcreate_class_mlpCreateClassMlpCreateClassMlpcreate_class_mlp

Module

Foundation

---

ClassesClasses | | Operators