Hi!

I have adjusted an unsupervised IOHMM with 3 states and an emission covariate (see code below).

SHMM = UnSupervisedIOHMM(num_states=3, max_EM_iter=200, EM_tol=1e-4)

SHMM.set_models(model_emissions = [OLS(est_stderr=True)], model_transition=CrossEntropyMNL(solver='lbfgs'), model_initial=CrossEntropyMNL(solver='lbfgs'))

SHMM.set_inputs(covariates_initial = [], covariates_transition = [], covariates_emissions = [['var']])

SHMM.set_outputs([['out']])

SHMM.set_data([df])

SHMM.train()

I am trying to get the Emissions Probability Distribution in each state based on the emission covariate value. How can I model this probability? I am getting two coefficients and two estimated standard error coefficients of the emission model in each state.

How can I use these coefficients?

Appreciate your answers!