sagemaker-feature-store-pyspark


Namesagemaker-feature-store-pyspark JSON
Version 1.1.2 PyPI version JSON
download
home_page
SummaryAmazon SageMaker FeatureStore PySpark Bindings
upload_time2023-06-05 23:29:54
maintainer
docs_urlNone
authorAmazon Web Services
requires_python
licenseApache License 2.0
keywords ml amazon aws ai featurestore sagemaker
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ## 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).


            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "sagemaker-feature-store-pyspark",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "ML Amazon AWS AI FeatureStore SageMaker",
    "author": "Amazon Web Services",
    "author_email": "",
    "download_url": "https://files.pythonhosted.org/packages/e5/43/949176df1d083f328e34bbb338b1ebb1954e5de8da8678edffd0d95490c8/sagemaker_feature_store_pyspark-1.1.2.tar.gz",
    "platform": null,
    "description": "## Overview\n\nSageMaker FeatureStore Spark is a connector library for [Amazon SageMaker FeatureStore](https://aws.amazon.com/sagemaker/feature-store/).\n\nWith 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.\n\n## Getting Started\n\nNote: 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).\n\n",
    "bugtrack_url": null,
    "license": "Apache License 2.0",
    "summary": "Amazon SageMaker FeatureStore PySpark Bindings",
    "version": "1.1.2",
    "project_urls": null,
    "split_keywords": [
        "ml",
        "amazon",
        "aws",
        "ai",
        "featurestore",
        "sagemaker"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "e543949176df1d083f328e34bbb338b1ebb1954e5de8da8678edffd0d95490c8",
                "md5": "5aa9ec9d2902982ec834d6f3f85f8d41",
                "sha256": "53a7dc5f08d481b6ed1237f6fd71ee3dc41cd7bb10d91a1e81c4c77c23a5fac4"
            },
            "downloads": -1,
            "filename": "sagemaker_feature_store_pyspark-1.1.2.tar.gz",
            "has_sig": false,
            "md5_digest": "5aa9ec9d2902982ec834d6f3f85f8d41",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 49885333,
            "upload_time": "2023-06-05T23:29:54",
            "upload_time_iso_8601": "2023-06-05T23:29:54.515618Z",
            "url": "https://files.pythonhosted.org/packages/e5/43/949176df1d083f328e34bbb338b1ebb1954e5de8da8678edffd0d95490c8/sagemaker_feature_store_pyspark-1.1.2.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-06-05 23:29:54",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "sagemaker-feature-store-pyspark"
}
        
Elapsed time: 0.10475s