get_sample_num_class_mlpT_get_sample_num_class_mlpGetSampleNumClassMlpGetSampleNumClassMlpget_sample_num_class_mlp (Operator)

Name

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

Signature

get_sample_num_class_mlp( : : MLPHandle : NumSamples)

Description

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

Execution Information

Multithreading type: reentrant (runs in parallel with non-exclusive operators).
Multithreading scope: global (may be called from any thread).
Processed without parallelization.

Parameters

MLPHandleMLPHandleMLPHandleMLPHandleMLPHandlemlphandle (input_control) class_mlp → (handle)

MLP handle.

NumSamplesNumSamplesNumSamplesNumSamplesnumSamplesnum_samples (output_control) integer → (integer)

Number of stored training samples.

Result

If MLPHandleMLPHandleMLPHandleMLPHandleMLPHandlemlphandle is valid, the operator get_sample_num_class_mlpget_sample_num_class_mlpGetSampleNumClassMlpGetSampleNumClassMlpGetSampleNumClassMlpget_sample_num_class_mlp returns the value TRUE. If necessary an exception is raised.