get_dl_classifier_train_resultget_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResult (Operator)

Name

get_dl_classifier_train_resultget_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResult — Return the results for the single training step of a deep-learning-based classifier.

Signature

get_dl_classifier_train_result( : : DLClassifierTrainResultHandle, GenParamName : GenParamValue)

Description

get_dl_classifier_train_resultget_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultGetDlClassifierTrainResult returns the value 'GenParamValue'"GenParamValue""GenParamValue""GenParamValue""GenParamValue" of the result 'GenParamName'"GenParamName""GenParamName""GenParamName""GenParamName" of a deep learning training handle DLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandle.

The options for 'GenParamValue'"GenParamValue""GenParamValue""GenParamValue""GenParamValue" are the following:

'loss'"loss""loss""loss""loss":: Current value of the loss function. See train_dl_classifier_batchtrain_dl_classifier_batchTrainDlClassifierBatchTrainDlClassifierBatchTrainDlClassifierBatch for a detailed explanation of the loss function.

For an explanation of the concept of deep-learning-based classification see the introduction of chapter Deep Learning / Classification.

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

DLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandle (input_control) dl_classifier_train_result → (integer)

Handle of the training results from the deep-learning-based classifier.

GenParamNameGenParamNameGenParamNameGenParamNamegenParamName (input_control) attribute.name(-array) → (string)

Name of the generic parameter.

Default value: 'loss' "loss" "loss" "loss" "loss"

List of values: 'loss'"loss""loss""loss""loss"

GenParamValueGenParamValueGenParamValueGenParamValuegenParamValue (output_control) attribute.name(-array) → (real / integer / string)

Value of the generic parameter.

Result

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