Fix spark ML integration test failure #5315
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WeichenXu123
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Jan 26, 2022
| @@ -485,7 +485,7 @@ def test_param_search_estimator( # pylint: disable=unused-argument | |||
| assert math.isclose(avg_metric_value, run_data.metrics[avg_metric_name], rel_tol=1e-6) | |||
| assert math.isclose(avg_metric_value, float(row.get(avg_metric_name)), rel_tol=1e-6) | |||
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| if isinstance(estimator, CrossValidator) and Version(pyspark.__version__) > Version("3.2"): | |||
| if isinstance(estimator, CrossValidator) and Version(pyspark.__version__) >= Version("3.3"): | |||
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The CrossValidationModel.stdMetrics was added in spark 3.3,
now spark 3.2.1 come out it will break the test.
harupy
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Jan 26, 2022
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Signed-off-by: Weichen Xu weichen.xu@databricks.com
What changes are proposed in this pull request?
Fix spark ML integration test failure:
https://github.com/mlflow/mlflow/runs/4947958872?check_suite_focus=true#step:12:173
How is this patch tested?
N/A
Does this PR change the documentation?
ci/circleci: build_doccheck. If it's successful, proceed to thenext step, otherwise fix it.
Detailson the right to open the job page of CircleCI.Artifactstab.docs/build/html/index.html.Release Notes
Is this a user-facing change?
(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 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