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_3.0-1.1.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 919b47e4a6a3d7928643ec30ce7f18af580411ea6626c10a6d3f19f33a8baea1 |
|
MD5 | 80ca1e12dd181dee2e5d447ed8c0aa1a |
|
BLAKE2b-256 | cfccb32a6262e5c20d447722cfb49c5ae23ad6415f48a67f8947e9732e17d870 |