For packages with a long list of dependencies, you will need to identify these dependencies in advance and be ready to install each one manually.īefore adding a package, consider whether the package is a good fit for the SQL Server environment. In many cases, Internet access is blocked entirely. If you have multiple instances of Machine Learning Services, you must add the package to each one.ĭatabase servers are frequently locked down.
For more information, see Package library location. The Python package library is located in the Program Files folder of your SQL Server instance and, by default, installing in this folder requires administrator permissions. Packages must be Python 3.5-compliant and run on Windows. You must have SQL Server Machine Learning Services installed with the Python language option.However, some additional steps are required if the server does not have an Internet connection.įor more information about package location and installation paths, see Get Python package information. In general, the process for installing new packages is similar to that in a standard Python environment. This article describes how to use standard Python tools to install new Python packages on an instance of SQL Server Machine Learning Services.
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