Remove the experimental decorators on autolog() for all flavors #5028
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Signed-off-by: Liang Zhang <liang.zhang@databricks.com>
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@liangz1 Can we also update this file? |
Signed-off-by: Liang Zhang <liang.zhang@databricks.com>
dbczumar
reviewed
Nov 10, 2021
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Can we stabilize the other gluon APIs as well?
dbczumar
approved these changes
Nov 10, 2021
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LGTM once https://github.com/mlflow/mlflow/pull/5028/files#r746175535 is addressed!
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@liangz1 Have you addressed Corey's comment? |
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Oh no, I forgot to push after I commit it to local repo. I'll create a separate PR then. |
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Signed-off-by: Liang Zhang liang.zhang@databricks.com
What changes are proposed in this pull request?
Remove the experimental decorators on autolog() for all flavors because it's no longer experimental.
How is this patch tested?
Existing tests.
Release Notes
Is this a user-facing change?
The autolog() API is no longer experimental.
What component(s), interfaces, languages, and integrations does this PR affect?
Components
area/artifacts: Artifact stores and artifact loggingarea/build: Build and test infrastructure for MLflowarea/docs: MLflow documentation pagesarea/examples: Example codearea/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registryarea/models: MLmodel format, model serialization/deserialization, flavorsarea/projects: MLproject format, project running backendsarea/scoring: MLflow Model server, model deployment tools, Spark UDFsarea/server-infra: MLflow Tracking server backendarea/tracking: Tracking Service, tracking client APIs, autologgingInterface
area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev serverarea/docker: Docker use across MLflow's components, such as MLflow Projects and MLflow Modelsarea/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registryarea/windows: Windows supportLanguage
language/r: R APIs and clientslanguage/java: Java APIs and clientslanguage/new: Proposals for new client languagesIntegrations
integrations/azure: Azure and Azure ML integrationsintegrations/sagemaker: SageMaker integrationsintegrations/databricks: Databricks integrationsHow should the PR be classified in the release notes? Choose one:
rn/breaking-change- The PR will be mentioned in the "Breaking Changes" sectionrn/none- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" sectionrn/feature- A new user-facing feature worth mentioning in the release notesrn/bug-fix- A user-facing bug fix worth mentioning in the release notesrn/documentation- A user-facing documentation change worth mentioning in the release notes