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Update batch_size calculation in keras autolog #11224
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Signed-off-by: Serena Ruan <serena.rxy@gmail.com>
Documentation preview for dd0fa8c will be available when this CircleCI job More info
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Signed-off-by: Serena Ruan <serena.rxy@gmail.com>
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Enables cross-version tests for dev versions
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Signed-off-by: Serena Ruan <serena.rxy@gmail.com>
Signed-off-by: Serena Ruan <serena.rxy@gmail.com>
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Thanks Serena! The code looks good to me, but I am wondering how this will fix the failed cross version testing? The failed test is the tensorflow test.
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fix keras failing tests
Update batch_size calculation in keras autolog
Feb 23, 2024
Signed-off-by: Serena Ruan <serena.rxy@gmail.com>
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Signed-off-by: Serena Ruan <serena.rxy@gmail.com> Signed-off-by: Arthur Jenoudet <arthur.jenoudet@databricks.com>
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enable-dev-tests
Enables cross-version tests for dev versions
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#xxxFix https://github.com/mlflow-automation/mlflow/actions/runs/7989659747/job/21816789024
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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
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: 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
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: R APIs and clientslanguage/java
: Java APIs and clientslanguage/new
: Proposals for new client languagesIntegrations
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: Databricks integrationsHow should the PR be classified in the release notes? Choose one:
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- 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
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- 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