Feature processor v3

[BassemHalim]

Port feature_processor module to SageMaker Python SDK v3

Migrates the feature_store.feature_processor module from sagemaker-python-sdk v2 to the v3 modular package structure (sagemaker-mlops), along with supporting changes in sagemaker-core.

Changes

Import path migration — All internal imports updated from sagemaker.feature_store.feature_processor → sagemaker.mlops.feature_store.feature_processor, and external SDK dependencies remapped to their v3 locations:

• sagemaker.Session → sagemaker.core.helper.session_helper.Session
• sagemaker.lineage → sagemaker.core.lineage
• sagemaker.remote_function → sagemaker.core.remote_function
• sagemaker.workflow → sagemaker.mlops.workflow
• sagemaker.s3 / sagemaker.utils / sagemaker.vpc_utils → sagemaker.core.*

Estimator → ModelTrainer migration (feature_scheduler.py) — Replaced the v2 Estimator dict-based construction with the v3 ModelTrainer API:

• Uses Compute, Networking, StoppingCondition, SourceCode, OutputDataConfig, and Tag config objects
• Creates a PipelineSession for pipeline-aware execution
• TrainingStep now uses step_args from ModelTrainer.train() instead of estimator+inputs

Input channel format change (_config_uploader.py) — prepare_step_input now returns List[Channel] (using Channel/DataSource/S3DataSource shapes) instead of Dict[str, TrainingInput].

Session helper additions (sagemaker-core) — Added Feature Store methods to Session: delete_feature_group, describe_feature_group, create_feature_group, update_feature_group, and related config schema imports.

Diff with V2

• https://drive-render.corp.amazon.com/view/bhhalim@/feature-store/py-sdk-v3/diff_report.html
• https://drive-render.corp.amazon.com/view/bhhalim@/feature-store/py-sdk-v3/test_diff_report.html
• https://drive-render.corp.amazon.com/view/bhhalim@/feature-store/py-sdk-v3/test_integ_diff_report.html

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