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get_sample_num_class_mlpget_sample_num_class_mlpGetSampleNumClassMlpget_sample_num_class_mlpGetSampleNumClassMlpGetSampleNumClassMlp (Operator)

Name

get_sample_num_class_mlpget_sample_num_class_mlpGetSampleNumClassMlpget_sample_num_class_mlpGetSampleNumClassMlpGetSampleNumClassMlp — Return the number of training samples stored in the training data of a multilayer perceptron.

Signature

get_sample_num_class_mlp( : : MLPHandle : NumSamples)

Herror get_sample_num_class_mlp(const Hlong MLPHandle, Hlong* NumSamples)

Herror T_get_sample_num_class_mlp(const Htuple MLPHandle, Htuple* NumSamples)

Herror get_sample_num_class_mlp(const HTuple& MLPHandle, Hlong* NumSamples)

Hlong HClassMlp::GetSampleNumClassMlp() const

void GetSampleNumClassMlp(const HTuple& MLPHandle, HTuple* NumSamples)

Hlong HClassMlp::GetSampleNumClassMlp() const

void HOperatorSetX.GetSampleNumClassMlp(
[in] VARIANT MLPHandle, [out] VARIANT* NumSamples)

Hlong HClassMlpX.GetSampleNumClassMlp()

static void HOperatorSet.GetSampleNumClassMlp(HTuple MLPHandle, out HTuple numSamples)

int HClassMlp.GetSampleNumClassMlp()

Description

get_sample_num_class_mlpget_sample_num_class_mlpGetSampleNumClassMlpget_sample_num_class_mlpGetSampleNumClassMlpGetSampleNumClassMlp returns in NumSamplesNumSamplesNumSamplesNumSamplesNumSamplesnumSamples the number of training samples that are stored in the multilayer perceptron (MLP) given by MLPHandleMLPHandleMLPHandleMLPHandleMLPHandleMLPHandle. get_sample_num_class_mlpget_sample_num_class_mlpGetSampleNumClassMlpget_sample_num_class_mlpGetSampleNumClassMlpGetSampleNumClassMlp should be called before the individual training samples are accessed with get_sample_class_mlpget_sample_class_mlpGetSampleClassMlpget_sample_class_mlpGetSampleClassMlpGetSampleClassMlp, e.g., for the purpose of reclassifying the training data (see get_sample_class_mlpget_sample_class_mlpGetSampleClassMlpget_sample_class_mlpGetSampleClassMlpGetSampleClassMlp).

Parallelization

Parameters

MLPHandleMLPHandleMLPHandleMLPHandleMLPHandleMLPHandle (input_control)  class_mlp HClassMlp, HTupleHTupleHClassMlp, HTupleHClassMlpX, VARIANTHtuple (integer) (IntPtr) (Hlong) (Hlong) (Hlong) (Hlong)

MLP handle.

NumSamplesNumSamplesNumSamplesNumSamplesNumSamplesnumSamples (output_control)  integer HTupleHTupleHTupleVARIANTHtuple (integer) (int / long) (Hlong) (Hlong) (Hlong) (Hlong)

Number of stored training samples.

Result

If MLPHandleMLPHandleMLPHandleMLPHandleMLPHandleMLPHandle is valid, the operator get_sample_num_class_mlpget_sample_num_class_mlpGetSampleNumClassMlpget_sample_num_class_mlpGetSampleNumClassMlpGetSampleNumClassMlp returns the value 2 (H_MSG_TRUE). If necessary an exception is raised.

Possible Predecessors

add_sample_class_mlpadd_sample_class_mlpAddSampleClassMlpadd_sample_class_mlpAddSampleClassMlpAddSampleClassMlp, read_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlp

Possible Successors

get_sample_class_mlpget_sample_class_mlpGetSampleClassMlpget_sample_class_mlpGetSampleClassMlpGetSampleClassMlp

See also

create_class_mlpcreate_class_mlpCreateClassMlpcreate_class_mlpCreateClassMlpCreateClassMlp

Module

Foundation


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