Create MarkovChain Object from transition matrices

[prof-amer]

I do know that to initiate the mc object, you need to input of the states sequence. It is possible to initiate if I were to supply the transition matrices instead?

[maximtrp]

Sure. You can create an instance of MarkovChain class and pass transition frequency and probability matrices to it:

import mchmm as mc
states = ['A', 'B', 'C']
# Transition frequency matrix
trans_freq_mat = np.random.randint(0, 10, (3, 3))
# Transition probability matrix
trans_prob_mat = np.nan_to_num(trans_freq_mat / trans_freq_mat.sum(axis=1)[:, None])
markov_chain = mc.MarkovChain(states=states, obs=trans_freq_mat, obs_p=trans_prob_mat)

Also, look at __init__ in documentation.