Project: azureml-pipeline

Used to build, optimize, and manage their machine learning workflows.

Project Details

Latest version
1.54.0
Home Page
https://docs.microsoft.com/python/api/overview/azure/ml/?view=azure-ml-py
PyPI Page
https://pypi.org/project/azureml-pipeline/

Project Popularity

PageRank
0.0035889211632796755
Number of downloads
540185

Machine learning (ML) pipelines are used by data scientists to build, optimize, and manage their machine learning workflows. A typical pipeline involves a sequence of steps that cover the following areas:

  • Data preparation, such as normalizations and transformations
  • Model training, such as hyper parameter tuning and validation
  • Model deployment and evaluation

The Azure Machine Learning SDK for Python can be used to create ML pipelines as well as to submit and track individual pipeline runs.

Module and ModuleVersion classes are added to manage reusable compute units in pipelines.