mlflow-export-import
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mlflow
Currently the tool requires a model version to have a run to be exported. There are rare use cases where a model version does not have a run. It is...
Hello I'd like to use mlflow-export-import to synchronize multiple instances of MLFlows So far I opted for periodic export - import (all or experiment) However, I'm facing the issue that...
Installing mlflow-export-import version 1.2.0 with pip does not fetch the `tabulate` or `databricks-cli` dependencies. I have observed this in two different environments: (Ubuntu 20.04, Python 3.8.18, pip 23.0.1) and (Windows...
Below is the error that I got while running the notebook: output_dir: /Shared/MLFlowExport stages: Production,None export_latest_versions: False run_start_date: None export_permissions: False export_deleted_runs: False export_version_model: False notebook_formats: ['SOURCE'] use_threads: False TypeError:...
Hi, I am trying to copy a existing run from from src_mlflow_uri to dst_mlflow_uri. Although the run was copied, the artifacts aren't available on the dst_mlflow_uri. I used the following...
When trying to run export-model command to export a specified model, there is this error: export-model --model --output-dir /tmp/export --versions 1,2 mlflow_export_import.common.MlflowExportImportException: {"message": "{\"http_status_code\": 401, \"uri\": \"/api/2.0/mlflow/registered-models/get\", \"params\": {\"name\": \"model_name\"},...
While trying to extract model path, the code assumes the path to be of the format //artifacts/model Its returning an incorrect model path for the format _artifacts//artifacts/model Ideally it should...
Importing models that have a source that starts "mlflow-artifacts:" fails. This is due to the fact that there is a file existence check override for "dbfs:" but not "mlflow-artifiacts:".
### Description: The credentials from the databricks profiles are not passed along in all subfunctions of the copy function from mlflow_export_import.copy.copy_model_version. The error occurs only outside of databricks, e.g. in...
I am running the example notebooks in Databricks to copy Mlflow run to another Databricks environment. Databricks cluster ML Run 13.3 LTS mlflow.version: 2.5.0 ``` from mlflow_export_import.copy.copy_run import copy dst_run...
