MLS与AzureML发布节奏 [英] MLS release cadence vs AzureML

问题描述

https://docs.microsoft.com/en-us/machine-learning-server/whats-new-in-machine-learning-server

" 9.3版本标志着更快的发布节奏，更频繁地传递更少的功能。"

多久一次？

与Azure ML相比？

当我们这样做时安装9.3，它下载预先训练的模型。

那些有没有得到更新？

和MLS一样的节奏？

特别是getSentiment似乎无法处理中性，经常更新？

与AzureML相比？

---

一个引人注目的信号

解决方案

我们刚刚发布了MRO 3.5.2：  https：// github.com/Microsoft/microsoft-r-open/releases/tag/MRO-3.5.2

https://docs.microsoft.com/en-us/machine-learning-server/whats-new-in-machine-learning-server

"The 9.3 release marks the beginning of a faster release cadence, with fewer features delivered more frequently."

How frequently?

Compared to Azure ML?

When we do the install of 9.3, it downloads the pre-trained models.

Do those ever get updated?

On the same cadence as MLS?

Especially getSentiment which cant seem to handle neutrals, how often is that updated?

Compared to AzureML?

---

a splashy sig

解决方案

We have just release MRO 3.5.2: https://github.com/Microsoft/microsoft-r-open/releases/tag/MRO-3.5.2

这篇关于MLS与AzureML发布节奏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！