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add optuna as test-only requirement #10996
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Install mlflow from this PR
pip install git+https://github.com/mlflow/mlflow.git@refs/pull/11090/merge
Checkout with GitHub CLI
gh pr checkout 11090
Related Issues/PRs
#xxxWhat changes are proposed in this pull request?
How is this PR tested?
- [ ] Existing unit/integration tests
- [ ] New unit/integration tests
- [ ] Manual tests
Does this PR require documentation update?
- [ ] No. You can skip the rest of this section.
- [ ] Yes. I've updated:
- [ ] Examples
- [ ] API references
- [ ] Instructions
Release Notes
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.
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/deployments
: MLflow Deployments client APIs, server, and third-party Deployments integrations - [ ]
area/docs
: MLflow documentation pages - [ ]
area/examples
: Example code - [ ]
area/model-registry
: Model Registry service, APIs, and the fluent client calls for Model Registry - [ ]
area/models
: MLmodel format, model serialization/deserialization, flavors - [ ]
area/recipes
: Recipes, Recipe APIs, Recipe configs, Recipe Templates - [ ]
area/projects
: MLproject format, project running backends - [ ]
area/scoring
: MLflow Model server, model deployment tools, Spark UDFs - [ ]
area/server-infra
: MLflow Tracking server backend - [ ]
area/tracking
: Tracking Service, tracking client APIs, autologging
Interface
- [ ]
area/uiux
: Front-end, user experience, plotting, JavaScript, JavaScript dev server - [ ]
area/docker
: Docker use across MLflow's components, such as MLflow Projects and MLflow Models - [ ]
area/sqlalchemy
: Use of SQLAlchemy in the Tracking Service or Model Registry - [ ]
area/windows
: Windows support
Language
- [ ]
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/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/breaking-change
- The PR will be mentioned in the "Breaking Changes" 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
Documentation preview for 4028a836095f8d13750071fc1e70c79e57af212f will be available when this CircleCI job completes successfully.
More info
- Ignore this comment if this PR does not change the documentation.
- It takes a few minutes for the preview to be available.
- The preview is updated when a new commit is pushed to this PR.
- This comment was created by https://github.com/mlflow/mlflow/actions/runs/8181088066.
@kru2710shna Thank you for the contribution! Could you fix the following issue(s)?
⚠ DCO check
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⚠ PR branch check
This PR was filed from the master branch in your fork, which is not recommended and may cause our CI checks to fail. Please close this PR and file a new PR from a non-master branch.