def __init__(self,
model,
T=None,
data=None,
stateseq=None,
generate=True,
initialize_from_prior=False,
initialize_to_noise=True):
self.model = model
self.data = data
self.T = T if T else data.shape[0]
self.data = data
self._obs_scheme = ObservationScheme(p=self.p, T=self.T)
self._normalizer = None
if stateseq is not None:
self.stateseq = stateseq
elif generate:
if data is not None and not (initialize_from_prior
or initialize_to_noise):
self.resample()
else:
if initialize_from_prior:
self.generate_states()
else:
self.stateseq = np.random.normal(size=(self.T, self.n))
