Watson对话:从JSON“转储"文件还原工作区时会丢失什么?

本文介绍了Watson对话:从JSON“转储"文件还原工作区时会丢失什么?的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

从JSON转储文件还原以前训练有素的Watson Conversation Workspace时，什么是丢失"或可衡量的影响是什么?

What is "lost" or what kind of measurable impact has it, when restoring a previously heavily trained Watson Conversation Workspace from its JSON dump-file?

在我看来，在一个小的示例工作区中，该机器人再次运行.最有可能不如以前.

As it seems to me on a small example workspace, the bot is running again. Most probably not as good as before.

考虑将来使用更大的工作空间:有办法

Considering a much larger workspace in the future: Is there a way

定量和/或测量这种损失的质量?

要重新训练"机器人(在从其转储中恢复训练有素的工作空间后恢复原始机器人的质量)? 当是的时候:最好的解决方案是做到这一点?

to quantify and/or measure such lost quality?

to "retrain" the bot (restore the original bot quality after restoring a trained workspace from its dump)? And when yes: what would the best solution be to do that?

推荐答案

当您还原或保留更大的Watson工作空间(如果它包含大量意图或实体)时，它将按原样创建，除非您的帐户计划或凭据已过期

When you restore or retain a larger Watson workspace ( if it contains a huge number of intents or entities ) it will create as it is, unless your account plan or credentials is expired