Metadata-Version: 2.1
Name: sagemaker-feature-store-pyspark-3.0
Version: 1.1.1
Summary: Amazon SageMaker FeatureStore PySpark Bindings
Home-page: UNKNOWN
Author: Amazon Web Services
License: Apache License 2.0
Description: ## Overview
        
        SageMaker FeatureStore Spark is a connector library for [Amazon SageMaker FeatureStore](https://aws.amazon.com/sagemaker/feature-store/).
        
        With this spark connector, you can easily ingest data to FeatureGroup's online and offline store from Spark `DataFrame`. Also, this connector contains the functionality to automatically load feature definitions to help with creating feature groups.
        
        ## Getting Started
        
        Note: For more information about installation, code samples etc, please reference the FeatureStore AWS [documentation](https://docs.aws.amazon.com/sagemaker/latest/dg/batch-ingestion-spark-connector-setup.html).
Keywords: ML Amazon AWS AI FeatureStore SageMaker
Platform: UNKNOWN
Description-Content-Type: text/markdown
