Azure Machine Learning Feature Store SDK
Project description
# Azure Machine Learning Feature Store Python SDK
The azureml-featurestore package is the core SDK interface for Azure ML Feature Store. This SDK works along the azure-ai-ml SDK to provide the managed feature store experience.
## Main features in the azureml-featurestore package - Develop feature set specification in Spark with the ability for feature transformation. - List and get feature sets defined in Azure ML Feature Store. - Generate and resolve feature retrieval specification. - Run offline feature retrieval with point-in-time join.
## Getting started
You can install the package via ` pip install azureml-featurestore `
To learn more about Azure ML managed feature store visit https://aka.ms/featurestore-get-started
# Change Log
## 0.1.0b3 (2023.07.10)
Various bug fixes
## 0.1.0b2 (2023.06.13)
New Features:
[Private preview] Added online store support. Online store supports materialization and online feature values retrieval from Redis cache for batch scoring.
Various bug fixes
## 0.1.0b1 (2023.05.15)
New Features:
Initial release.
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