integrations/databricks: Databricks integrations.integrations/sagemaker: SageMaker integrations.integrations/azure: Azure and Azure ML integrations.language/new: Proposals for new client languages.area/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registry.area/docker: Docker use across MLflow's components, such as MLflow Projects and MLflow Models.
area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev server.area/tracking: Tracking Service, tracking client APIs, autologging.area/server-infra: MLflow Tracking server backend.area/scoring: MLflow Model server, model deployment tools, Spark UDFs.area/projects: MLproject format, project running backends.area/recipes: Recipes, Recipe APIs, Recipe configs, Recipe Templates.area/models: MLmodel format, model serialization/deserialization, flavors.area/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registry.area/build: Build and test infrastructure for MLflow.area/artifacts: Artifact stores and artifact logging.
You can just refer to another PR with a description if this PR is part of a larger change.) What component(s), interfaces, languages, and integrations does this PR affect? Give a description of this change to be included in the release notes for MLflow users. Release Notes Is this a user-facing change? Make sure the changed pages / sections render correctly in the documentation preview. Manual tests (describe details, including test results, below).Related Issues/PRs #7884 What changes are proposed in this pull request?ĭisallows local source for model version.
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