Callback Handler that logs metrics and artifacts to mlflow server.
MlflowLogger(
self,
**kwargs: Any = {},
)This handler implements the helper functions to initialize, log metrics and artifacts to the mlflow server.
If run_id is provided, it will reuse the run with the given run_id. Otherwise, it starts a new run, auto generates the random suffix for name.
To finish the run.
To log metric to mlflow server.
To log all metrics in the input dict.
To log the input data as json file artifact.
To log the input pandas dataframe as a html table
To log the input html string as html file artifact.
To log the input text as text file artifact.
To upload the file from given path as artifact.