MLFlowLogger¶
- torchrl.record.loggers.mlflow.MLFlowLogger(exp_name: str, tracking_uri: str, tags: dict[str, Any] | None = None, *, video_fps: int = 30, **kwargs) None[source]¶
Wrapper for the mlflow logger.
- Parameters:
exp_name (str) – The name of the experiment.
tracking_uri (str) – A tracking URI to a datastore that supports MLFlow or a local directory.
- Keyword Arguments:
fps (int, optional) – Number of frames per second when recording videos. Defaults to
30.
