get_dl_classifier_train_resultT_get_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultget_dl_classifier_train_result (算子名称)
名称
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.
警告
get_dl_classifier_train_resultget_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultGetDlClassifierTrainResultget_dl_classifier_train_result is obsolete and is only provided for
reasons of backward compatibility.
参数签名
描述
get_dl_classifier_train_resultget_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultGetDlClassifierTrainResultget_dl_classifier_train_result 返回值
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.
运行信息
- 多线程类型:可重入(与非独占操作符并行运行)。
- 多线程作用域:全局(可以从任何线程调用)。
- 未经并行化处理。
参数表
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:
'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.
结果
如果参数均有效，算子
get_dl_classifier_train_resultget_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultGetDlClassifierTrainResultget_dl_classifier_train_result 返回值 2 (
H_MSG_TRUE)
. If
necessary, an exception is raised.
可能的前置算子
train_dl_classifier_batchtrain_dl_classifier_batchTrainDlClassifierBatchTrainDlClassifierBatchTrainDlClassifierBatchtrain_dl_classifier_batch
可能的后置算子
clear_dl_classifier_train_resultclear_dl_classifier_train_resultClearDlClassifierTrainResultClearDlClassifierTrainResultClearDlClassifierTrainResultclear_dl_classifier_train_result
模块
Deep Learning Training