Hello,

I am running tune with Asha scheduler and AX search algorithm . I would like to add some constraints on AX , a kind of stopping criteria if two metrics are jointly satisfied. I did the following:

```
algo = AxSearch(outcome_constraints=["loss_validation<= 0.005"])
algo = tune.suggest.ConcurrencyLimiter(algo, max_concurrent=4)
Scheduler = ASHAScheduler( max_t=params["nb_epochs"], reduction_factor=4, )
analysis = tune.run( train_fn_with_parameters, metric="loss_validation", mode="min", config=config)
```

I tried the following but it doesnâ€™t work l get an error related to the format of outcome_constraints:

```
`1/ algo = AxSearch(outcome_constraints=["loss_validation<= 0.005"])`
2/ algo = AxSearch(outcome_constraints=["metric<= 0.005"])
```

```
3/algo = AxSearch(outcome_constraints=["loss_validation<= 0.005" and "loss_train<= 0.0001"])
```

Any cue ?