Double-click Python.exe in \Program Files\Microsoft\ML Server\PYTHON_SERVER.To get the version of a Python module installed on your computer, start Python and execute the following commands: SQL Server Machine Learning Server (Standalone).SQL Server 2017 Machine Learning Services.
Python library reference install#
In addition to Python packages, Machine Learning Server setup and SQL Server setup both install the Python interpreters and base modules required to run any script or code that calls functions from proprietary package.įor SQL Server, packages are installed by default in the \Program files\Microsoft SQL Server*instance name*\PYTHON_SERVICES You can get the packages when you install Machine Learning Server, or SQL Server 2017, and choose the option for Python support. Conceptually, revoscalepy and microsftml are the Python equivalents of the RevoScaleR R package and the MicrosoftML R package, respectively. The revoscalepy functions support a broad spectrum of statistical and analytical tasks that operate at scale, bringing analytical operations to local data or remote on a Spark cluster or data residing in SQL Server.ĭevelopers who are familiar with Microsoft R packages might notice similarities in the functions provided in revoscalepy and microsoftml. Machine Learning Server 9.2.1, 9.3 and 9.4 SQL Server 2017 (Windows only)Īnaconda 4.2 distribution of Python 3.5 (included when you add Python support during installation).Ĭlasses and functions to authenticate, deploy, manage, and consume analytic web services in Python.Ī collection of Python functions used for machine learning operations, including training and transformations, scoring, text and image analysis, and feature extraction for deriving values from existing data.ĭata access, manipulation and transformations, visualization, and statistical analysis.
You can use these libraries and functions in combination with other open source or third-party packages, but to use the proprietary packages, your Python code must run against a service or on a computer that provides the interpreters. This section contains the Python reference documentation for three proprietary packages from Microsoft used for data science and machine learning on premises and at scale.