get_dl_classifier_train_resultT_get_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultget_dl_classifier_train_result (Operator)
Name
get_dl_classifier_train_resultT_get_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultget_dl_classifier_train_result — Return the results for the single training step of a deep-learning-based
classifier.
Warning
get_dl_classifier_train_resultget_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultGetDlClassifierTrainResultget_dl_classifier_train_result is obsolete and is only provided for
reasons of backward compatibility.
Signature
Description
get_dl_classifier_train_resultget_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultGetDlClassifierTrainResultget_dl_classifier_train_result returns the value
GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value of the result GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name of a deep
learning training handle DLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandledlclassifier_train_result_handle.
The options for GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value are the following:
- 'loss'"loss""loss""loss""loss""loss" or 'total_loss'"total_loss""total_loss""total_loss""total_loss""total_loss":
-
Current value of the
loss function. See train_dl_classifier_batchtrain_dl_classifier_batchTrainDlClassifierBatchTrainDlClassifierBatchTrainDlClassifierBatchtrain_dl_classifier_batch
for a detailed explanation of the loss function.
- 'mll_loss'"mll_loss""mll_loss""mll_loss""mll_loss""mll_loss":
-
Current value of the
loss function, i.e. 'loss'"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""regularization_loss""regularization_loss":
Current value of the regularization
loss function, i.e. 'loss'"loss""loss""loss""loss""loss" without
'mll_loss'"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
DLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandledlclassifier_train_result_handle (input_control) dl_classifier_train_result → HDlClassifierTrainResult, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
Handle of the training results from the
deep-learning-based classifier.
GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name (input_control) attribute.name(-array) → HTupleMaybeSequence[str]HTupleHtuple (string) (string) (HString) (char*)
Name of the generic parameter.
Default value:
'loss'
"loss"
"loss"
"loss"
"loss"
"loss"
List of values: 'loss'"loss""loss""loss""loss""loss", 'mll_loss'"mll_loss""mll_loss""mll_loss""mll_loss""mll_loss", 'regularization_loss'"regularization_loss""regularization_loss""regularization_loss""regularization_loss""regularization_loss", 'total_loss'"total_loss""total_loss""total_loss""total_loss""total_loss"
GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value (output_control) attribute.name(-array) → HTupleSequence[Union[int, float, str]]HTupleHtuple (real / integer / string) (double / int / long / string) (double / Hlong / HString) (double / Hlong / char*)
Value of the generic parameter.
Result
If the parameters are valid, the operator
get_dl_classifier_train_resultget_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultGetDlClassifierTrainResultget_dl_classifier_train_result returns the value 2 (H_MSG_TRUE). If
necessary, an exception is raised.
Possible Predecessors
train_dl_classifier_batchtrain_dl_classifier_batchTrainDlClassifierBatchTrainDlClassifierBatchTrainDlClassifierBatchtrain_dl_classifier_batch
Possible Successors
clear_dl_classifier_train_resultclear_dl_classifier_train_resultClearDlClassifierTrainResultClearDlClassifierTrainResultClearDlClassifierTrainResultclear_dl_classifier_train_result
Module
Deep Learning Training