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Add spark udf model serving test#9110

Merged
serena-ruan merged 1 commit into
mlflow:inf_paramsfrom
serena-ruan:scoring
Jul 19, 2023
Merged

Add spark udf model serving test#9110
serena-ruan merged 1 commit into
mlflow:inf_paramsfrom
serena-ruan:scoring

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Add spark udf model serving test

What changes are proposed in this pull request?

(Please fill in changes proposed in this fix)

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.

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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/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
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  • area/projects: MLproject format, project running backends
  • area/scoring: MLflow Model server, model deployment tools, Spark UDFs
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  • area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev server
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  • area/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registry
  • area/windows: Windows support

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  • 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

@serena-ruan
serena-ruan marked this pull request as ready for review July 18, 2023 15:08
@serena-ruan
serena-ruan requested a review from WeichenXu123 July 18, 2023 15:08
with mlflow.start_run():
mlflow_info = mlflow.pyfunc.log_model(
test_params = {
"str_param": "str_a",

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Is this param used in the python model ?

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It's passed as params, but not in the output though.

@WeichenXu123 WeichenXu123 left a comment

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LGTM

@serena-ruan
serena-ruan merged commit 9355f8c into mlflow:inf_params Jul 19, 2023
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2 participants