azureml-contrib-pipeline-steps

Azure Machine Learning Parallel Run Step

Project description

# 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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1.58.0

Oct 16, 2024

1.57.0

Aug 5, 2024

1.56.0

Apr 29, 2024

1.55.0

Feb 6, 2024

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1.48.0

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1.47.0

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1.45.0

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1.44.0

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1.43.0

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1.42.0

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1.41.0

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1.40.0

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1.39.0

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1.38.0

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1.37.0

Dec 13, 2021

1.36.0

Nov 8, 2021

1.35.0

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1.34.0

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1.30.0

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1.26.0

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1.25.0

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1.22.0

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1.18.0

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1.17.0

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1.16.0

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1.15.0

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1.14.0

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1.13.0

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1.12.0

Aug 17, 2020

1.11.0

Aug 3, 2020

1.10.0

Jul 20, 2020

1.9.0

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1.8.0

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1.7.0

Jun 8, 2020

1.6.0

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1.5.0.post1

May 14, 2020

1.5.0

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1.4.0

Apr 27, 2020

1.3.0

Apr 13, 2020

1.2.0

Mar 23, 2020

1.1.5

Mar 11, 2020

1.1.2rc0 pre-release

Mar 2, 2020

1.1.1rc0 pre-release

Feb 18, 2020

This version

1.1.0rc0 pre-release

Feb 5, 2020

1.0.85

Jan 21, 2020

1.0.83

Jan 6, 2020

1.0.81

Dec 23, 2019

1.0.79

Dec 9, 2019

1.0.76

Nov 25, 2019

1.0.74

Nov 11, 2019

1.0.72

Oct 31, 2019

1.0rc85 pre-release

Jan 21, 2020

1.0rc83 pre-release

Jan 7, 2020

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