Python Language Modules
Important
Support for Machine Learning Studio (classic) will end on 31 August 2024. We recommend you transition to Azure Machine Learning by that date.
Beginning 1 December 2021, you will not be able to create new Machine Learning Studio (classic) resources. Through 31 August 2024, you can continue to use the existing Machine Learning Studio (classic) resources.
- See information on moving machine learning projects from ML Studio (classic) to Azure Machine Learning.
- Learn more about Azure Machine Learning.
ML Studio (classic) documentation is being retired and may not be updated in the future.
This article describes the modules provided in Machine Learning Studio (classic) that support running custom Python code in a machine learning experiment.
Note
Applies to: Machine Learning Studio (classic) only
Similar drag-and-drop modules are available in Azure Machine Learning designer.
The Python environment in Machine Learning uses the Anaconda environment, which is easy to use and also includes some of the more important and popular Python packages, including NumPy, SciPy, and scikit-learn. To run Python code using these packages, just write your code in the text editor of the Execute Python Script module.
For more information about the Python environment, see Machine Learning Python Client Library.
For more information about how you can use Python code in Machine Learning, see these resources:
List of modules
The Python Language Modules category includes the following module:
- Execute Python Script: Executes a Python script from an Machine Learning experiment