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.
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-1.0.72-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7ddb501a42526499c2784ea9e4bfdb1badcd5c78e4a4eb262c6e150260c111de |
|
MD5 | d059c833c24e7f210bc05f06ce029e63 |
|
BLAKE2b-256 | ab017aec66534fd60427fdc78161bcc33b39b115c625c4146ec70e90b4446f34 |