Metadata-Version: 2.4
Name: azureml-contrib-pipeline-steps
Version: 1.62.0
Summary: Azure Machine Learning Parallel Run Step - Deprecated
Home-page: https://docs.microsoft.com/python/api/overview/azure/ml/?view=azure-ml-py
Author: Microsoft Corp
License: Proprietary https://aka.ms/azureml-preview-sdk-license 
Requires-Python: >=3.7,<4.0
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: azureml-core
Requires-Dist: azureml-dataset-runtime~=1.62.0
Requires-Dist: azureml-pipeline-core~=1.62.0
Dynamic: author
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# 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.
