Azure Machine Learning Parallel Run Step
Project description
## Note As Batch Inference has been fully released, the project has moved to [azureml-pipeline-steps](https://pypi-hypernode.com/project/azureml-pipeline-steps/). Please refer to the release notes.
# 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
File details
Details for the file azureml_contrib_pipeline_steps-1.10.0-py3-none-any.whl
.
File metadata
- Download URL: azureml_contrib_pipeline_steps-1.10.0-py3-none-any.whl
- Upload date:
- Size: 18.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.5.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | dd21a44cbda8b8bcc7f49da67a7792cf49e3313e8962e54a1ad9f86d7ba2ba3c |
|
MD5 | 09fddc5e2efd06cd0e50e275f1bade30 |
|
BLAKE2b-256 | 75c5be99dc9569b3eca0b6fa3241084e21e4740926e5d887edb7f6f1db962c79 |