Operator Reference

HALCON Operator Reference / Classification / Neural Nets

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clear_samples_class_mlpT_clear_samples_class_mlpClearSamplesClassMlpClearSamplesClassMlpclear_samples_class_mlp (Operator)

clear_samples_class_mlpT_clear_samples_class_mlpClearSamplesClassMlpClearSamplesClassMlpclear_samples_class_mlp — Clear the training data of a multilayer perceptron.

Signature

clear_samples_class_mlp( : : MLPHandle : )

Herror T_clear_samples_class_mlp(const Htuple MLPHandle)

void ClearSamplesClassMlp(const HTuple& MLPHandle)

static void HClassMlp::ClearSamplesClassMlp(const HClassMlpArray& MLPHandle)

void HClassMlp::ClearSamplesClassMlp() const

static void HOperatorSet.ClearSamplesClassMlp(HTuple MLPHandle)

static void HClassMlp.ClearSamplesClassMlp(HClassMlp[] MLPHandle)

void HClassMlp.ClearSamplesClassMlp()

def clear_samples_class_mlp(mlphandle: MaybeSequence[HHandle]) -> None

Description

clear_samples_class_mlpclear_samples_class_mlpClearSamplesClassMlpClearSamplesClassMlpclear_samples_class_mlp clears all training samples that have been added to the multilayer perceptron (MLP) MLPHandleMLPHandleMLPHandleMLPHandlemlphandle with add_sample_class_mlpadd_sample_class_mlpAddSampleClassMlpAddSampleClassMlpadd_sample_class_mlp or read_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlpread_samples_class_mlp. clear_samples_class_mlpclear_samples_class_mlpClearSamplesClassMlpClearSamplesClassMlpclear_samples_class_mlp should only be used if the MLP is trained in the same process that uses the MLP for evaluation with evaluate_class_mlpevaluate_class_mlpEvaluateClassMlpEvaluateClassMlpevaluate_class_mlp or for classification with classify_class_mlpclassify_class_mlpClassifyClassMlpClassifyClassMlpclassify_class_mlp. In this case, the memory required for the training samples can be freed with clear_samples_class_mlpclear_samples_class_mlpClearSamplesClassMlpClearSamplesClassMlpclear_samples_class_mlp, and hence memory can be saved. In the normal usage, in which the MLP is trained offline and written to a file with write_class_mlpwrite_class_mlpWriteClassMlpWriteClassMlpwrite_class_mlp, it is typically unnecessary to call clear_samples_class_mlpclear_samples_class_mlpClearSamplesClassMlpClearSamplesClassMlpclear_samples_class_mlp because write_class_mlpwrite_class_mlpWriteClassMlpWriteClassMlpwrite_class_mlp does not save the training samples, and hence the online process, which reads the MLP with read_class_mlpread_class_mlpReadClassMlpReadClassMlpread_class_mlp, requires no memory for the training samples.

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(-array) → HClassMlp, HTupleMaybeSequence[HHandle]HTupleHtuple (handle) (IntPtr) (HHandle) (handle)

MLP handle.

Result

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

Possible Predecessors

train_class_mlptrain_class_mlpTrainClassMlpTrainClassMlptrain_class_mlp, write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlpwrite_samples_class_mlp

See also

create_class_mlpcreate_class_mlpCreateClassMlpCreateClassMlpcreate_class_mlp, clear_class_mlpclear_class_mlpClearClassMlpClearClassMlpclear_class_mlp, add_sample_class_mlpadd_sample_class_mlpAddSampleClassMlpAddSampleClassMlpadd_sample_class_mlp, read_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlpread_samples_class_mlp

Module

Foundation

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ClassesClasses | | Operators