Skip to main content

Azure Machine Learning Parallel Run Step

Project description

## Note As Batch Inference has been fully released, the project has moved to [azureml-pipeline-steps](https://pypi-hypernode.com/project/azureml-pipeline-steps/). Please refer to the release notes.

# Azure Machine Learning Batch Inference

Azure Machine Learning Batch Inference targets large inference jobs that are not time-sensitive. Batch Inference provides cost-effective inference compute scaling, with unparalleled throughput for asynchronous applications. It is optimized for high-throughput, fire-and-forget inference over large collections of data.

# Getting Started with Batch Inference Public Preview

Batch inference public preview offers a platform in which to do large inference or generic parallel map-style operations. Please visit [Azure Machine Learning Notebooks](https://github.com/Azure/MachineLearningNotebooks) to find tutorials on how to leverage this service.

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

File details

Details for the file azureml_contrib_pipeline_steps-1.6.0-py3-none-any.whl.

File metadata

  • Download URL: azureml_contrib_pipeline_steps-1.6.0-py3-none-any.whl
  • Upload date:
  • Size: 18.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.5.4

File hashes

Hashes for azureml_contrib_pipeline_steps-1.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d39429450d84dae50bfffd9a996a7da0eef228b0f640d5b28ef701a25523798f
MD5 d42541d4753faa4103aeaa7369fa1478
BLAKE2b-256 1ee547b82cfa05a467cb306fab2eb3da1897c3f04b3ca8506021bed56ac16ec5

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