def _generate_trials(self, experiment_spec, output_path=""):
        """Generates trials with configurations from `_suggest`.

        Creates a trial_id that is passed into `_suggest`.

        Yields:
            Trial objects constructed according to `spec`
        """
        if "run" not in experiment_spec:
            raise TuneError("Must specify `run` in {}".format(experiment_spec))
        for _ in range(experiment_spec.get("num_samples", 1)):
            trial_id = Trial.generate_id()
            while True:
                suggested_config = self._suggest(trial_id)
                if suggested_config is None:
                    yield None
                else:
                    break
            spec = copy.deepcopy(experiment_spec)
            spec["config"] = merge_dicts(spec["config"], suggested_config)
            flattened_config = resolve_nested_dict(spec["config"])
            self._counter += 1
            tag = "{0}_{1}".format(
                str(self._counter), format_vars(flattened_config))
            yield create_trial_from_spec(
                spec,
                output_path,
                self._parser,
                experiment_tag=tag,
                trial_id=trial_id)
def _generate_trials ( self , experiment_spec , output_path = "" ) : if "run" not in experiment_spec : raise TuneError ( "Must specify `run` in {}" . format ( experiment_spec ) ) for _ in range ( experiment_spec . get ( "num_samples" , 1 ) ) : trial_id = Trial . generate_id ( ) while True : suggested_config = self . _suggest ( trial_id ) if suggested_config is None : yield None else : break spec = copy . deepcopy ( experiment_spec ) spec [ "config" ] = merge_dicts ( spec [ "config" ] , suggested_config ) flattened_config = resolve_nested_dict ( spec [ "config" ] ) self . _counter += 1 tag = "{0}_{1}" . format ( str ( self . _counter ) , format_vars ( flattened_config ) ) yield create_trial_from_spec ( spec , output_path , self . _parser , experiment_tag = tag , trial_id = trial_id )
Generates trials with configurations from `_suggest`.

        Creates a trial_id that is passed into `_suggest`.

        Yields:
            Trial objects constructed according to `spec`