Skip to main content

Azure Machine Learning Parallel Run Step

Project description

# Note This package has been deprecated and moved to [azureml-pipeline-steps](https://pypi-hypernode.com/project/azureml-pipeline-steps/). Please refer to this [documentation](https://docs.microsoft.com/python/api/azureml-pipeline-steps) for more information.

# 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-1.17.0-py3-none-any.whl.

File metadata

  • Download URL: azureml_contrib_pipeline_steps-1.17.0-py3-none-any.whl
  • Upload date:
  • Size: 18.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.6.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.5.4

File hashes

Hashes for azureml_contrib_pipeline_steps-1.17.0-py3-none-any.whl
Algorithm Hash digest
SHA256 97ed93adc9ac7a4e551a24ee877838b4714db3f91f64b15acc492d2570f60fb3
MD5 8fd22a2f2cf72d510f59601b11591185
BLAKE2b-256 7b10523020ac67410b5ab3cde20a7a6f9d22337b30f93699859559cfcfa7677b

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