IBM Watson Knowledge Studio 2.0-部署基于规则的模型是试验性的.那是什么意思? [英] IBM Watson Knowledge Studio 2.0 - deploying a rule-based model is experimental. What does that mean?

问题描述

在Watson Knowledge Studio中构建基于规则的模型时，出现提示，提示:-

When building a rule-based model in Watson Knowledge Studio, a reminder appears saying:-

您在此处构建的基于规则的模型只能由其他Watson服务部署和使用，仅用于实验目的.

The rule-based model that you build here can be deployed and used by other Watson services for experimental purposes only.

在联机文档中，在将基于规则的注释器部署到IBM Watson Discovery"一章的开头，出现了另一个类似的提示:-

In the online documentation, at the beginning of chapter "Deploying a rule-based annotator to IBM Watson Discovery", another similar mention appears:-

注意:这是该服务的实验功能.

Attention: This is currently an experimental feature of the service.

我开始基于在Discovery中部署的WKS基于自定义规则的模型构建应用程序，我想确保在将来的WKS或Discovery版本中不会危及该解决方案.

I started building an application based on a WKS custom rule-based model deployed in Discovery and i want to be sure this solution will not be jeopardized at some point in some future release of either WKS or Discovery.

在这种情况下，实验是什么意思? 是否有可能在WKS或Discovery的将来版本中不再提供基于规则的建模?

What experimental means in this context? Is there a chance that in a future version of WKS or Discovery the rule-based modeling won't be available anymore?

推荐答案

我是WKS的产品经理.

I'm the Offering Manager for WKS.

可以在此处找到IBM的实验性/测试版正式定义的示例: http ://www.ibm.com/software/sla/sladb.nsf/pdf/6605-11/$file/i126-6605-11_06-2017_zh_CN.pdf

An example of the official definition of Experimental/Beta for IBM can be found here: http://www.ibm.com/software/sla/sladb.nsf/pdf/6605-11/$file/i126-6605-11_06-2017_en_US.pdf

我对IBM官方政策的解释如下:

My interpretation of the official IBM policy is as follows:

• 实验性/测试版不提供保修
• 实验性/测试版不能保证性能，不适合生产
• 实验性/测试版不提供向GA的迁移
• 实验/测试版不会在服务/功能终止时保存客户端数据-客户端必须保存他们想要保留的所有数据
• 实验/测试版可以终止，恕不另行通知
• Experimental/Beta客户的任何反馈都可以被IBM和第三方使用

在WKS的背景下，我们决定暂时将仅规则"模型保留为实验功能，因为我们仍在尝试如何将规则模型与机器学习模型结合在一起. (当前，它们是分开的，这降低了WKS用户的价值.) 基于规则的技术总体上是稳定的，我可以向您保证它不会消失.但是我们想改善它周围的用户体验. 尽管我们保留在必要时引入重大更改的权利，但我们也会尽最大努力保护基于规则模型的任何客户投资. (因此，功能的实验"状态.)

In the context of WKS, we decided to keep the Rules-only models as an Experimental feature for the time being because we are still experimenting around how to combine the rules models with the machine-learning models. (Currently, they are separate, which decreases the value for the WKS users.) The Rule-based technology is stable as a whole and I can assure you that it is not going away. But we want to improve the UX around it. We'll also make our best effort to protect any client investments in rule-based model, although we reserve the right to introduce breaking changes if we have to. (Hence, the "Experimental" state of the feature.)

在WKS中使用规则有两个方面:

There are two aspects of using Rules in WKS:

• 作为机器学习模型注释的预注释器
• 作为独立的(可用于自然语言理解和Watson Discovery服务)基于规则的模型.

由于仅规则模型仍处于实验状态，因此即使将仅规则模型部署到付费IBM Cloud服务中，您也可以免费在生产中使用它们.

Because rules-only models are still in Experimental state, you benefit from using them in production at no charge even when you deploy the rules-only models to paid IBM Cloud services.

我鼓励您继续使用WKS中的规则，并向我们提供有关改进功能的反馈.正如我所提到的，规则将保留下来，我们正在努力改进它们.

I would encourage you to continue using the Rules in WKS and to provide us with feedback on ways to improve the feature. As I mentioned, the rules are here to stay and we are working on improving them.

感谢您的提问和使用WKS.

Thanks for your question and for using WKS.

亲切的问候，

Stefan

这篇关于IBM Watson Knowledge Studio 2.0-部署基于规则的模型是试验性的.那是什么意思?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！