Andre Mesarovic

[FR] For MlflowClient.transition_model_version_stage() change default value of argument archive_existing_versions to True to be consistent with MLflow UI semantics

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### Willingness to contribute Yes. I would be willing to contribute this feature with guidance from the MLflow community. ### Proposal Summary For `MlflowClient.transition_model_version_stage()` change the default value of`archive_existing_versions` to...

Update to latest MLflow 1.2.0 from current 0.9.1

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Current pom.xml use MLflow 0.9.1 (pre-GA). Should be using latest MLflow 1.2.0.

Serverless Model Endpoints aka Model Serving v2.

Publish mlflow-export-import package to PyPI

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Time to publish.

INVALID_PARAMETER_VALUE: Cannot update tag 'mlflow.rootRunId' when importing model into Databricks

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When importing into Databricks a registered mode that was exported from Databricks, get the following error: INVALID_PARAMETER_VALUE: Cannot update tag 'mlflow.rootRunId'

For scalability purposes, create an iterator wrapper for methods such as: - MLflowClient.list_experiments() - MLflowClient.list_registered_models() Noted by @hebo-yang [Issue 49](https://github.com/amesar/mlflow-export-import/issues/49#issuecomment-1074718076)

Per Sid and Kris recommendations, fix API consistency and usability.

[FR] Add delete_artifact method to mlflow API

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## Willingness to contribute The MLflow Community encourages new feature contributions. Would you or another member of your organization be willing to contribute an implementation of this feature (either as...

[BUG] REST endpoint "2.0/mlflow/experiments/search" requires a max-results param

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### Issues Policy acknowledgement - [X] I have read and agree to submit bug reports in accordance with the [issues policy](https://www.github.com/mlflow/mlflow/blob/master/ISSUE_POLICY.md) ### Where did you encounter this bug? Local machine...