Timeout for cross_validation

Would it be feasible a timeout management inside cross validation?

Running prophet in spark for thousands of parallel group of timeseries, i see that for certain groups cross validation is quite expensive
So the idea to set a timeout for each forecast, to be handled by cross validation i.e.

```
try:
....
df_cv = cross_validation(model, cutoffs=dt_ct, horizon='14 days' , parallel=None,
timeout= '60 sec')
except Exception as e:
use default params

```
if cross_validation takes more than '60 sec' the exception is handled
is there any trick to mimic this ?

thanks