Issue with Examples.py

[Rapfff]

Problem:

In Examples.py, line 189, I got TypeError: cannot unpack non-iterable Mdp object while doing:
mdp, input_alphabet = generate_random_mdp(num_states, input_len, num_outputs)

Solution:

In aalpy/utils/AutomatonGenerators.py, line 269, replace:
return Mdp(states[0], states) by return Mdp(states[0], states), inputs

:)

[emuskardin]

Thanks, fixed :)

[emuskardin]

I will update the random MDP and SMM generation once I am back to work in a week or so. Just to make it a bit better, it is functional as is, but some things go on my nerves :)
There are some other examples that deal with learning of stochastic models in Examples.py, which might be more suited for your needs.

Btw, cool library with Baum-Welch algorithm, I was just thinking recently about adding those to AALpy :)
If you have some questions regarding anything let us know :)