Skip to main content

No project description provided

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

This version

1.9.0

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-1.9.0-py3-none-any.whl (3.7 kB view details)

Uploaded Python 3

File details

Details for the file azureml_pipeline-1.9.0-py3-none-any.whl.

File metadata

  • Download URL: azureml_pipeline-1.9.0-py3-none-any.whl
  • Upload date:
  • Size: 3.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.5.4

File hashes

Hashes for azureml_pipeline-1.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2867728f5809526e02a3b1020178e9a1e4bdeed677ec87086f635affd1b4d433
MD5 69e3a9189a824842369bef33100f7b28
BLAKE2b-256 d3e28aa9db8b15a383e16b30170ead963fccc9422d918d031caad74bd6bdb4c6

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