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Jan 22, 2026
Proposes healthcare-specific context helpers and FHIR Provenance generation for MLflow experiment tracking. Complements (not wraps) MLflow with HealthcareRunContext, PatientContext, and log_healthcare_context() helper function. Related to #185 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Rename healthchain/mlflow -> healthchain/mlflow_tracking to avoid shadowing the mlflow package in user imports - Unify all logged param/tag prefixes to healthchain. namespace (was a mix of healthcare. params and healthchain. tags) - Fix to_dict() to consistently omit None optional fields, matching the behaviour of patient_context and custom_metadata - Harden from_app_config() with getattr defaults so it degrades gracefully if AppConfig attributes are missing - Add four from_app_config tests covering happy path, name fallback, kwargs override, and missing-attributes safety - Update all test assertions to reflect prefix and to_dict changes - Update cookbook docs to use new healthchain.mlflow_tracking import path Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Testing
uv run pytestpasses locally and generates no additional warnings or errors.Checklist
CONTRIBUTING.mdand followed the guidelines.