azureml-contrib-pipeline-steps


Nameazureml-contrib-pipeline-steps JSON
Version 1.57.0 PyPI version JSON
download
home_pagehttps://docs.microsoft.com/python/api/overview/azure/ml/?view=azure-ml-py
SummaryAzure Machine Learning Parallel Run Step - Deprecated
upload_time2024-08-05 21:53:28
maintainerNone
docs_urlNone
authorMicrosoft Corp
requires_python<4.0,>=3.7
licenseProprietary https://aka.ms/azureml-preview-sdk-license
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Note
This package has been deprecated and moved to [azureml-pipeline-steps](https://pypi.org/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.

            

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