Skip to main content

Azure Machine Learning Parallel Run Step - Deprecated

Project description

Note

This package has been deprecated and moved to azureml-pipeline-steps. Please refer to this documentation 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 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-1.58.0-py3-none-any.whl.

File metadata

File hashes

Hashes for azureml_contrib_pipeline_steps-1.58.0-py3-none-any.whl
Algorithm Hash digest
SHA256 93d73434e3615cc95204f09556cb9759ef9b795adc3bc7f4017bc18f3cb2a048
MD5 4511b753ebd78a51b6f40f32c2bd98d2
BLAKE2b-256 a3d3bf1c180a84d1baa535f4767cba7fb98ae3c07c6cfc7bc1d810f2979768eb

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