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Make self.inference_config default to empty dictionary #8308

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merged 1 commit into from Apr 24, 2023

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harupy
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@harupy harupy commented Apr 24, 2023

Related Issues/PRs

#xxx

What changes are proposed in this pull request?

Make self.inference_config default to empty dictionary to simplify the code.

How is this patch tested?

  • Existing unit/integration tests
  • New unit/integration tests
  • Manual tests (describe details, including test results, below)

Does this PR change the documentation?

  • No. You can skip the rest of this section.
  • Yes. Make sure the changed pages / sections render correctly in the documentation preview.

Release Notes

Is this a user-facing change?

  • No. You can skip the rest of this section.
  • Yes. Give a description of this change to be included in the release notes for MLflow users.

(Details in 1-2 sentences. 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?

Components

  • area/artifacts: Artifact stores and artifact logging
  • area/build: Build and test infrastructure for MLflow
  • area/docs: MLflow documentation pages
  • area/examples: Example code
  • area/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registry
  • area/models: MLmodel format, model serialization/deserialization, flavors
  • area/recipes: Recipes, Recipe APIs, Recipe configs, Recipe Templates
  • area/projects: MLproject format, project running backends
  • area/scoring: MLflow Model server, model deployment tools, Spark UDFs
  • area/server-infra: MLflow Tracking server backend
  • area/tracking: Tracking Service, tracking client APIs, autologging

Interface

  • area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev server
  • area/docker: Docker use across MLflow's components, such as MLflow Projects and MLflow Models
  • area/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registry
  • area/windows: Windows support

Language

  • language/r: R APIs and clients
  • language/java: Java APIs and clients
  • language/new: Proposals for new client languages

Integrations

  • integrations/azure: Azure and Azure ML integrations
  • integrations/sagemaker: SageMaker integrations
  • integrations/databricks: Databricks integrations

How should the PR be classified in the release notes? Choose one:

  • rn/breaking-change - The PR will be mentioned in the "Breaking Changes" section
  • rn/none - No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" section
  • rn/feature - A new user-facing feature worth mentioning in the release notes
  • rn/bug-fix - A user-facing bug fix worth mentioning in the release notes
  • rn/documentation - A user-facing documentation change worth mentioning in the release notes

Signed-off-by: harupy <hkawamura0130@gmail.com>
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Documentation preview for 90690e0 will be available here when this CircleCI job completes successfully.

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@github-actions github-actions bot added the rn/none List under Small Changes in Changelogs. label Apr 24, 2023
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LGTM! Much cleaner :)

@BenWilson2 BenWilson2 merged commit a8d7006 into mlflow:master Apr 24, 2023
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BenWilson2 pushed a commit to BenWilson2/mlflow that referenced this pull request Apr 24, 2023
Signed-off-by: harupy <hkawamura0130@gmail.com>
lobrien pushed a commit to lobrien/mlflow that referenced this pull request May 10, 2023
Signed-off-by: harupy <hkawamura0130@gmail.com>
Signed-off-by: Larry O’Brien <larry.obrien@databricks.com>
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