Use python -m build to build distributions
#11119
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Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
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mlflow-automation
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B-Step62,
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daniellok-db,
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WeichenXu123
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mlflow-automation
This was referenced Feb 15, 2024
BenWilson2
reviewed
Feb 15, 2024
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| - name: Build distribution files | ||
| id: build-dist | ||
| run: | | ||
| # Build distribution files | ||
| python setup.py sdist bdist_wheel | ||
| python -m build --sdist --wheel . |
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looks exactly like the recommended migration :D
sateeshmannar
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Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
artjen
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Signed-off-by: harupy <17039389+harupy@users.noreply.github.com> Signed-off-by: Arthur Jenoudet <arthur.jenoudet@databricks.com>
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Related Issues/PRs
#xxxWhat changes are proposed in this pull request?
Use
python -m buildto build distributions and avoid usingpython setup.py.How is this PR tested?
Does this PR require documentation update?
Release Notes
Is this a user-facing 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/deployments: MLflow Deployments client APIs, server, and third-party Deployments integrationsarea/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/recipes: Recipes, Recipe APIs, Recipe configs, Recipe 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/none- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" sectionrn/breaking-change- The PR will be mentioned in the "Breaking Changes" 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