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.
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Release files for azureml-contrib-pipeline-steps 1.62.0
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| azureml_contrib_pipeline_steps-1.62.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / azureml_contrib_pipeline_steps-1.62.0-py3-none-any.whl
| Download URL | azureml_contrib_pipeline_steps-1.62.0-py3-none-any.whl |
|---|---|
| Size | 17.7 kB |
| Tags | Python 3 |
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