get_dl_classifier_train_resultT_get_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultget_dl_classifier_train_result (算子)

名称

get_dl_classifier_train_resultT_get_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultget_dl_classifier_train_result — 返回基于深度学习的分类器的单个训练步骤的结果。

警告

签名

get_dl_classifier_train_result( : : DLClassifierTrainResultHandle, GenParamName : GenParamValue)

描述

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".

有关基于深度学习的分类概念的说明，请参阅深度学习 / 分类一章的引言。涉及此遗留算子的工作流在遗留 / 深度学习分类一章中有详细说明。

执行信息

多线程类型：可重入（与非独占算子并行运行）。
多线程作用域：全局（可从任何线程调用）。
未采用并行化处理。

参数

DLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandleDLClassifierTrainResultHandledlclassifier_train_result_handle (输入控制) dl_classifier_train_result → (handle)

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

GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name (输入控制) attribute.name(-array) → (string)

Name of the generic parameter.

默认值： 'loss' "loss" "loss" "loss" "loss" "loss"

值列表： '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 (输出控制) attribute.name(-array) → (real / integer / string)

Value of the generic parameter.

结果

如果参数有效，算子 get_dl_classifier_train_resultget_dl_classifier_train_resultGetDlClassifierTrainResultGetDlClassifierTrainResultGetDlClassifierTrainResultget_dl_classifier_train_result 返回值 2 ( H_MSG_TRUE )。如有必要，则抛出异常。

可能的前趋

train_dl_classifier_batchtrain_dl_classifier_batchTrainDlClassifierBatchTrainDlClassifierBatchTrainDlClassifierBatchtrain_dl_classifier_batch

可能的后继

clear_dl_classifier_train_resultclear_dl_classifier_train_resultClearDlClassifierTrainResultClearDlClassifierTrainResultClearDlClassifierTrainResultclear_dl_classifier_train_result

模块

深度学习训练

算子