fix: regression caused by #6376#6689
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dbczumar merged 8 commits intomlflow:masterfrom Sep 7, 2022
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Signed-off-by: Hubert Zub <[email protected]>
Signed-off-by: Hubert Zub <[email protected]>
liangz1
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Sep 2, 2022
tests/pipelines/test_train_step.py
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| os.environ, | ||
| { | ||
| _MLFLOW_PIPELINES_EXECUTION_DIRECTORY_ENV_VAR: str(tmp_pipeline_root_path), | ||
| "target_step_name": "train", |
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What about defining this env var key as _MLFLOW_PIPELINES_TARGET_STEP_NAME_ENV_VAR (following the pattern above)?
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good point, done!
dbczumar
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Sep 2, 2022
Signed-off-by: Hubert Zub <[email protected]>
Signed-off-by: Hubert Zub <[email protected]>
Signed-off-by: Hubert Zub <[email protected]>
Signed-off-by: Hubert Zub <[email protected]>
Signed-off-by: Hubert Zub <[email protected]>
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LGTM pending one minor comment. Thanks!
Co-authored-by: Liang Zhang <[email protected]>
nnethery
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Feb 1, 2024
* fix: regression caused by mlflow#6376 Signed-off-by: Hubert Zub <[email protected]> * chore: CR fix Signed-off-by: Hubert Zub <[email protected]> * chore: CR fixes Signed-off-by: Hubert Zub <[email protected]> * chore: fixed unit tests Signed-off-by: Hubert Zub <[email protected]> * chore: fixed unit tests Signed-off-by: Hubert Zub <[email protected]> * chore: removed artifact Signed-off-by: Hubert Zub <[email protected]> * chore: Update env variable value Co-authored-by: Liang Zhang <[email protected]> Signed-off-by: Hubert Zub <[email protected]> Co-authored-by: Liang Zhang <[email protected]>
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Signed-off-by: Hubert Zub [email protected]
What changes are proposed in this pull request?
Fixes regression caused by #6376
Propagates target step name by an environment variable now.
How is this patch tested?
Does this PR change the documentation?
Detailslink on thePreview docscheck.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/pipelines: Pipelines, Pipeline APIs, Pipeline configs, Pipeline Templatesarea/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