Clean up dev-requirements.txt
#5063
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Signed-off-by: harupy <hkawamura0130@gmail.com>
harupy
commented
Nov 15, 2021
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| sphinx==3.5.4 | ||
| sphinx-autobuild | ||
| sphinx-click | ||
| scikit-learn | ||
| scipy | ||
| kubernetes |
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Renamed this file to doc-requirements.txt since it better describes what this file contains.
harupy
commented
Nov 15, 2021
| @@ -410,7 +410,6 @@ jobs: | |||
| python-version: 3.7 | |||
| - name: Install python dependencies | |||
| run: | | |||
| pip install -r dev-requirements.txt | |||
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In the windows check, we don't build docs.
WeichenXu123
approved these changes
Nov 16, 2021
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Signed-off-by: harupy hkawamura0130@gmail.com
What changes are proposed in this pull request?
Remove unnecessary dependencies from
dev-requirements.txtand rename it.How is this patch tested?
Make sure the existing checks pass
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