tuning_objective = 'loss_valid'
suggest = OptunaSearch()
suggest = ConcurrencyLimiter(suggest, max_concurrent=4)
schedule = AsyncHyperBandScheduler() 
reporter = tune.CLIReporter()
parameter_columns=[...]
metric_columns=[...]
for param in parameter_columns:
    reporter.add_parameter_column(param)
for metric in metric_columns:
    reporter.add_metric_column(metric)
analysis = tune.run(runner,
				metric=tuning_objective,
				mode='min',
				search_alg=suggest,
				scheduler=schedule,
				resources_per_trial={'cpu': 1, 'gpu': 1}, 
				num_samples=100, 
				config=config,
				local_dir='./ray_results',
				progress_reporter=reporter,
				keep_checkpoints_num=3,
				checkpoint_score_attr='min-'+str(tuning_objective),
				)