Amazon SageMaker FeatureStore PySpark Bindings
Project description
Overview
SageMaker FeatureStore Spark is a connector library for Amazon SageMaker FeatureStore.
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.
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 Distribution
Close
Hashes for sagemaker_feature_store_pyspark_3.0-1.1.1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 041c592bd47ac7852daab633e3ea823a9fd771c9df7f0042156c3cacdb093b8d |
|
MD5 | 1cb199af32449c39f0019bbea798f835 |
|
BLAKE2b-256 | f4bec7623a8f5732e1a9fd3486a399bc231f46866e3d6556ef80fad65d2590c6 |