ML运行远程程序包 [英] ML to run remote packages
问题描述
大家好
我想知道是否可以实现以下目标:
I would like to know if the following can be achieved:
中央NAS共享能否用作所有目录的主目录我们的R软件包,以及我们如何配置节点,以便该软件包的集中文件夹看起来像 计算节点究竟是UNC还是与其本地基于C:\的文件夹相同,并且供用户访问集中式程序包.
Can a central NAS share be used as the home directory for all of our R packages, and how we configure nodes so that this centralised folder for packages appears to the compute nodes exactly whether it be a UNC the same as their local C:\ based folder and for users to access the centralised package.
注意:这是运行9.2.1的本地ML.
Note: This is an On-Prem ML running 9.2.1.
致谢
拉杰什
推荐答案
您能否检查使用ML的SQL Server是否适合您的用例?这可以是本地解决方案.
Could you check to see if SQL Server with ML is an option for your use case? This can be an on-premise solution.
此致,
Jaya
Regards,
Jaya
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