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Commits on Apr 2, 2019

• Temporarily disable SageMaker build steps in tests (mlflow#1085)

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Commits on Mar 29, 2019

• Add flag and message for run purging (mlflow#1013)

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Commits on Mar 18, 2019

• Improve documentation of getRun() APIs to specify information about metric selection. (mlflow#1004)

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• SQLAlchemy Store: Permit multiple metric values per timestamp (mlflow#972)

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Commits on Mar 16, 2019

• File Store: When reading run data, return maximum metric value at maximum timestamp (mlflow#999)

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Commits on Mar 14, 2019

• SQLAlchemy: Fix session scope / management (mlflow#980)

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Commits on Mar 12, 2019

• Improve docs and example README for MLflow Docker projects (mlflow#970)

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Commits on Mar 7, 2019

• Make split the default pyfunc server format (mlflow#960)

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Commits on Mar 5, 2019

• Default conda environments: Install CloudPickle from pip (mlflow#933)

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• Pin test requirements (mlflow#952)

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Commits on Mar 1, 2019

• Make job logs link open in new window (mlflow#939)

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Commits on Feb 28, 2019

• Autodetect notebook ID when obtaining experiment ID (mlflow#923)

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• S3 artifact store: fix path resolution error when artifact root is bucket root (mlflow#928)

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Commits on Feb 25, 2019

• Models docs: Improve flavor-specific documentation (mlflow#909)

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• Models docs: Add examples for custom python models and improve custom flavors documentation (mlflow#910)

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Commits on Feb 14, 2019

• Lower check precision (mlflow#896)

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Commits on Feb 4, 2019

• Make mlflow.pytorch.pickle_module the default when saving PyTorch models (mlflow#861)

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Commits on Feb 1, 2019

• Add CloudPickle serialization module for PyTorch model persistence (mlflow#851)

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• SageMaker deployment: Improve description of execution_role_arn_parameter (mlflow#859)

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Commits on Jan 31, 2019

• Bump package versions to 0.8.3 dev (mlflow#858)

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Commits on Jan 29, 2019

• Bump R version to 0.8.2 and add small docs updates to changelog (mlflow#850)

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Commits on Jan 28, 2019

• Update changelog and bump version for 0.8.2 release (mlflow#846)

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Commits on Jan 25, 2019

• Add "code paths" parameter to pytorch model persistence functions (mlflow#842)

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• Change ValueError for version mismatch to logger warning (mlflow#836)

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Commits on Jan 22, 2019

• Add cloudpickle version to custom pyfunc conf + version mismatch warning (mlflow#830)

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Commits on Jan 15, 2019

• Pyfunc: Simplify process for adding custom inference logic and data/object dependencies (mlflow#793)

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Commits on Jan 7, 2019

• Remove redundant logic in pyfunc module (mlflow#792)

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• Add kwargs parameter to pyfunc 'add_to_model' (mlflow#791)

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Commits on Jan 5, 2019

• Add get_artifact_uri() and _download_artifact_from_uri convenience functions (mlflow#779)

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Commits on Dec 26, 2018

• Bump dev version (mlflow#778)

  

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Commits on Dec 21, 2018

• Azure artifact store: fix path resolution error when artifact root is container root (mlflow#769)

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• Bump release version to 0.8.1 and update changelog (mlflow#766)

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Commits on Dec 14, 2018

• AzureML: Fix pandas dataframe deserialization error (mlflow#754)

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Commits on Dec 9, 2018

• Add cloudpickle to sklearn conda environment for appropriate serialization format (mlflow#749)

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• Allow dict values for conda_env parameter for model saving/logging (mlflow#748)

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