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-1.56.0-py3-none-any.whl.

File metadata

File hashes

Hashes for azureml_contrib_pipeline_steps-1.56.0-py3-none-any.whl
Algorithm Hash digest
SHA256 56398beffc40a25105afe63d41ffa7cd5b269ba69ffeb96973b384fcf4f66094
MD5 86069c0ab156e1d0f3040622c834febd
BLAKE2b-256 1899e1bf1b5a46e430b504bcb6078b77aaec8ff07bb4618a80e75d1af3126715

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