For mlflow autologging we currently log and trace methods like 'fit', 'predict', 'score', 'transform'.
Via Events we get information when certain substeps start, complete and extra attributes, like
- Staging
- Preprocessing
- Checking
- Feature trying
- Feature building
- Trainging
- …
Use mlflow spans to trace those information under the parent trace.
https://mlflow.org/docs/latest/tracking.html
https://mlflow.org/docs/latest/python_api/mlflow.client.html#mlflow.client.MlflowClient.start_span
https://mlflow.org/docs/latest/python_api/mlflow.client.html#mlflow.client.MlflowClient.end_span
https://github.com/getml/monorepo/pull/370
For mlflow autologging we currently log and trace methods like 'fit', 'predict', 'score', 'transform'.
Via Events we get information when certain substeps start, complete and extra attributes, like
Use mlflow spans to trace those information under the parent trace.
https://mlflow.org/docs/latest/tracking.html
https://mlflow.org/docs/latest/python_api/mlflow.client.html#mlflow.client.MlflowClient.start_span
https://mlflow.org/docs/latest/python_api/mlflow.client.html#mlflow.client.MlflowClient.end_span
https://github.com/getml/monorepo/pull/370