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
Built Distribution
Hashes for azureml_contrib_pipeline_steps-1.43.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 68ea310fbae2e983bd34bc215f4b0b5db826ea1fdbfff476510bdaefe9900602 |
|
MD5 | 814dfa47fee205395fedd25bb74607d2 |
|
BLAKE2b-256 | e793bcae89a086b0066e39449e4d9238e965b00c7aee60a6176076817ff348d5 |