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[minor][tune] update pbt docs (#5420)

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Richard Liaw 2019-08-11 12:39:54 -07:00 • committed by GitHub
parent b1e010feec
commit cff72d1a54
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2 changed files with 3 additions and 3 deletions
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2
python/ray/tune/ray_trial_executor.py
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@ -97,7 +97,7 @@ class RayTrialExecutor(TrialExecutor):
trial.runner = existing_runner
if not self.reset_trial(trial, trial.config, trial.experiment_tag):
raise AbortTrialExecution(
"Trial runner reuse requires reset_trial() to be "
"Trainable runner reuse requires reset_config() to be "
"implemented and return True.")
return existing_runner

4
python/ray/tune/schedulers/pbt.py
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@ -109,7 +109,7 @@ class PopulationBasedTraining(FIFOScheduler):
This Tune PBT implementation considers all trials added as part of the
PBT population. If the number of trials exceeds the cluster capacity,
they will be time-multiplexed as to balance training progress across the
population.
population. To run multiple trials, use `tune.run(num_samples=<int>)`.
Args:
time_attr (str): The training result attr to use for comparing time.
@ -162,7 +162,7 @@ class PopulationBasedTraining(FIFOScheduler):
>>> # 10 -> 1 or 10 -> 100. Resampling will choose at random.
>>> "factor_2": [1, 10, 100, 1000, 10000],
>>> })
>>> run_experiments({...}, scheduler=pbt)
>>> tune.run({...}, num_samples=8, scheduler=pbt)
"""
def __init__(self,