python/ray/tune/impl/tuner_internal.py
def _fit_resume(self, trainable) -> ExperimentAnalysis:
        """Fitting for a restored Tuner."""
        analysis = run(
            trainable,
            resume=True,
            mode=self._tune_config.mode,
            metric=self._tune_config.metric,
            callbacks=self._run_config.callbacks,
            sync_config=self._run_config.sync_config,
            stop=self._run_config.stop,
            max_failures=(
                self._run_config.failure.max_failures if self._run_config.failure else 0
            ),
            _experiment_checkpoint_dir=self._experiment_checkpoint_dir,
            raise_on_failed_trial=False,
            **self._tuner_kwargs,
        )
        return analysis
Fitting for a restored Tuner.
Fitting for a restored Tuner.
Fitting for a restored Tuner .
def _fit_resume(self, trainable) -> ExperimentAnalysis:
        analysis = run(
            trainable,
            resume=True,
            mode=self._tune_config.mode,
            metric=self._tune_config.metric,
            callbacks=self._run_config.callbacks,
            sync_config=self._run_config.sync_config,
            stop=self._run_config.stop,
            max_failures=(
                self._run_config.failure.max_failures if self._run_config.failure else 0
            ),
            _experiment_checkpoint_dir=self._experiment_checkpoint_dir,
            raise_on_failed_trial=False,
            **self._tuner_kwargs,
        )
        return analysis
def _fit_resume ( self , trainable ) -> ExperimentAnalysis : analysis = run ( trainable , resume = True , mode = self . _tune_config . mode , metric = self . _tune_config . metric , callbacks = self . _run_config . callbacks , sync_config = self . _run_config . sync_config , stop = self . _run_config . stop , max_failures = ( self . _run_config . failure . max_failures if self . _run_config . failure else 0 ) , _experiment_checkpoint_dir = self . _experiment_checkpoint_dir , raise_on_failed_trial = False , ** self . _tuner_kwargs , ) return analysis
Fitting for a restored Tuner.
Fitting for a restored Tuner .
"""Fitting for a restored Tuner."""
self
trainable