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