get_dl_classifier_train_resultT_get_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResult (Operator)

Name

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

Warning

get_dl_classifier_train_resultget_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultGetDlClassifierTrainResult is obsolete and is only provided for reasons of backward compatibility.

Signature

get_dl_classifier_train_result( : : DLClassifierTrainResultHandle, GenParamName : GenParamValue)

Description

get_dl_classifier_train_resultget_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultGetDlClassifierTrainResult returns the value GenParamValueGenParamValueGenParamValueGenParamValuegenParamValue of the result GenParamNameGenParamNameGenParamNameGenParamNamegenParamName of a deep learning training handle DLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandle.

The options for GenParamValueGenParamValueGenParamValueGenParamValuegenParamValue are the following:

'loss'"loss""loss""loss""loss" or 'total_loss'"total_loss""total_loss""total_loss""total_loss":: Current value of the loss function. See train_dl_classifier_batchtrain_dl_classifier_batchTrainDlClassifierBatchTrainDlClassifierBatchTrainDlClassifierBatch for a detailed explanation of the loss function.
'mll_loss'"mll_loss""mll_loss""mll_loss""mll_loss":: Current value of the loss function, i.e. 'loss'"loss""loss""loss""loss", without 'regularization_loss'"regularization_loss""regularization_loss""regularization_loss""regularization_loss".
'regularization_loss'"regularization_loss""regularization_loss""regularization_loss""regularization_loss":: Current value of the regularization loss function, i.e. 'loss'"loss""loss""loss""loss" without 'mll_loss'"mll_loss""mll_loss""mll_loss""mll_loss".

For an explanation of the concept of deep-learning-based classification see the introduction of chapter Deep Learning / Classification. The workflow involving this legacy operator is described in the chapter Legacy / DL 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 → (handle)

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", 'mll_loss'"mll_loss""mll_loss""mll_loss""mll_loss", 'regularization_loss'"regularization_loss""regularization_loss""regularization_loss""regularization_loss", 'total_loss'"total_loss""total_loss""total_loss""total_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.

Possible Predecessors

train_dl_classifier_batchtrain_dl_classifier_batchTrainDlClassifierBatchTrainDlClassifierBatchTrainDlClassifierBatch

Possible Successors

clear_dl_classifier_train_resultclear_dl_classifier_train_resultClearDlClassifierTrainResultClearDlClassifierTrainResultClearDlClassifierTrainResult

Module

Deep Learning Training

Operators