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.

Project details


Release history Release notifications | RSS feed

This version

1.0.2

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-1.0.2-py3-none-any.whl (3.2 kB view details)

Uploaded Python 3

File details

Details for the file azureml_pipeline-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: azureml_pipeline-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 3.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.5.2

File hashes

Hashes for azureml_pipeline-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 8b3f8b47a29ec00325675fbd6d518de4b1241371acc7005190e72db3bd211987
MD5 59528a146c8d0f25dcb018f9482efd12
BLAKE2b-256 1b6f3c6ee3c6d4fc0f1f6871ac634565aa178a170725f9c93429922e78db7b40

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