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Simplify score_model_on_one_payload #10381

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prithvikannan
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@prithvikannan prithvikannan commented Nov 14, 2023

Related Issues/PRs

#xxx

What changes are proposed in this pull request?

Pull the prompt templating logic outside of the score_model_on_one_payload function. This organization makes more sense as the payload is generated, and then scored using the ThreadPoolExecutor

How is this PR tested?

  • Existing unit/integration tests
  • New unit/integration tests
  • Manual tests

Does this PR require documentation update?

  • No. You can skip the rest of this section.
  • Yes. I've updated:
    • Examples
    • API references
    • Instructions

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.

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/gateway: AI Gateway service, Gateway client APIs, third-party Gateway integrations
  • 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/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/breaking-change - The PR will be mentioned in the "Breaking Changes" 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: Prithvi Kannan <prithvi.kannan@databricks.com>
@prithvikannan prithvikannan added the rn/none List under Small Changes in Changelogs. label Nov 14, 2023
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Documentation preview for 44242da will be available here when this CircleCI job completes successfully.

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@prithvikannan prithvikannan marked this pull request as ready for review November 14, 2023 07:48
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@dbczumar dbczumar left a comment

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LGTM!

@prithvikannan prithvikannan merged commit 8951815 into mlflow:master Nov 14, 2023
36 checks passed
KonakanchiSwathi pushed a commit to KonakanchiSwathi/mlflow that referenced this pull request Nov 29, 2023
Signed-off-by: Prithvi Kannan <prithvi.kannan@databricks.com>
Signed-off-by: swathi <konakanchi.swathi@gmail.com>
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