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- Add LakeFormationConfig class to configure Lake Formation governance on offline stores - Implement FeatureGroup subclass with Lake Formation integration capabilities - Add helper methods for S3 URI/ARN conversion and Lake Formation role management - Add S3 deny policy generation for Lake Formation access control - Implement Lake Formation resource registration and S3 bucket policy setup - Add integration tests for Lake Formation feature store workflows - Add unit tests for Lake Formation configuration and policy generation - Update feature_store module exports to include FeatureGroup and LakeFormationConfig - Update API documentation to include Feature Store section in sagemaker_mlops.rst - Enable fine-grained access control for feature store offline stores using AWS Lake Formation
- Most code was ported from V2 and the imports were updated - Some usage of session.describe_feature_group was converted to FeatureGroup.get() from sagemaker.core which calls describe_feature_Group under the hood - The feature_scheduler to_pipeline was refactored to replace Estimator from V2 to use ModelTrainer from V3. (Estimator was removed from V3)
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Issue #, if available:
Migrate Sagemaker Feature Store to V3
Description of changes:
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