{"library":"sagemaker-feature-store-pyspark-3-1","type":"library","category":null,"description":"Amazon SageMaker FeatureStore PySpark Bindings provide a Spark Datasource to read data from SageMaker Feature Store and a Spark Processor to write data to SageMaker Feature Store. This package is specifically designed for Spark 3.1 environments, enabling users to interact with SageMaker Feature Store directly from Spark jobs. The current version is 1.1.3, with updates released as needed for new features or compatibility.","language":"python","status":"active","version":"1.1.3","tags":["aws","sagemaker","feature-store","pyspark","machine-learning"],"install":[{"cmd":"pip install sagemaker-feature-store-pyspark-3-1","imports":["from feature_store_pyspark import FeatureStoreManager"]}],"homepage":"https://aws.amazon.com/sagemaker/feature-store/","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/sagemaker-feature-store-pyspark-3-1/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":5.5,"avg_import_s":null,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/sagemaker-feature-store-pyspark-3-1/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}