ray.tune.stopper.CombinedStopper#
- class ray.tune.stopper.CombinedStopper(*stoppers: Stopper)[source]#
Bases:
Stopper
Combine several stoppers via ‘OR’.
- Parameters:
*stoppers – Stoppers to be combined.
Examples
>>> import numpy as np >>> from ray import train, tune >>> from ray.tune.stopper import ( ... CombinedStopper, ... MaximumIterationStopper, ... TrialPlateauStopper, ... ) >>> >>> stopper = CombinedStopper( ... MaximumIterationStopper(max_iter=10), ... TrialPlateauStopper(metric="my_metric"), ... ) >>> def train_fn(config): ... for i in range(15): ... train.report({"my_metric": np.random.normal(0, 1 - i / 15)}) ... >>> tuner = tune.Tuner( ... train_fn, ... run_config=train.RunConfig(stop=stopper), ... ) >>> print("[ignore]"); result_grid = tuner.fit() [ignore]... >>> all(result.metrics["training_iteration"] <= 20 for result in result_grid) True
Methods