Skip to main content

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

Project description

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.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

azureml_pipeline-1.48.0-py3-none-any.whl (2.4 kB view details)

Uploaded Python 3

File details

Details for the file azureml_pipeline-1.48.0-py3-none-any.whl.

File metadata

  • Download URL: azureml_pipeline-1.48.0-py3-none-any.whl
  • Upload date:
  • Size: 2.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.9.2 requests/2.28.1 setuptools/50.3.2 requests-toolbelt/0.10.1 tqdm/4.64.1 CPython/3.8.13

File hashes

Hashes for azureml_pipeline-1.48.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f654de8ab5fe5e853ecf98340cbe6d6c149daff44ad288c79f1b5bf5a5084a2c
MD5 e13c64b5b11d9224235881b234cc76a9
BLAKE2b-256 655c1d1bcdcd20aec4d02069831471ccb0fae5e20cc80be30f12fee1f4efd5ee

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page