mlflow-export-import
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amesar
Export and import MLflow experiments, runs or registered models
1. User performs git clone through databricks UI Error Message: Cannot perform git operation due to conflicting names: databricks_notebooks/git/_README and databricks_notebooks/git/_README.py. A folder cannot contain a notebook with the same...
INVALID_PARAMETER_VALUE: Cannot update tag 'mlflow.rootRunId' when importing model into Databricks
When importing into Databricks a registered mode that was exported from Databricks, get the following error: INVALID_PARAMETER_VALUE: Cannot update tag 'mlflow.rootRunId'
I am trying to export-import mlflow objects from a deprecated databricks workspace to a new one. Thereby, I figured out following miss behavior when using local setup: - export-model (from...
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)
Really appreciate you maintaining this library — it's helped me out of a couple jams. This PR uses a method buried inside the MLflow client object to preserve the original...
Per Sid and Kris recommendations, fix API consistency and usability.
Hello. I followed the instructions in the README: 1. Create env 2. Activate Env 3. Use the following: ``` export-experiment-list --experiments 'all' --output-dir out ``` But I am getting the...
In Databricks, I noticed there's a behavior difference when calling the `RunExporter.export_run` + `RunImporter.import_run` APIs vs just calling the `RunCopier.copy_run` APIs, to push runs between workspaces. The former approach seems...
