ray.tune.Trainable.step

Trainable.step()

Subclasses should override this to implement train().

The return value will be automatically passed to the loggers. Users can also return tune.result.DONE or tune.result.SHOULD_CHECKPOINT as a key to manually trigger termination or checkpointing of this trial. Note that manual checkpointing only works when subclassing Trainables.

Added in version 0.8.7.

Returns:

A dict that describes training progress.