def aBl_eigen(self):
if self._aBBl is None:
sigmas = np.array([[c.sigmas for c in d.components] for d in self.obs_distns])
mus = np.array([[c.mu for c in d.components] for d in self.obs_distns])
weights = np.array([d.weights.weights for d in self.obs_distns])
changepoints = np.array(self.changepoints).astype('int32')
if self.model.temperature is not None:
sigmas *= self.model.temperature
from pyhsmm.util.temp import gmm_likes
self._aBBl = np.empty((self.Tblock,self.num_states))
gmm_likes(self.data,sigmas,mus,weights,changepoints,self._aBBl)
return self._aBBl
def aBl_eigen(self):
if self._aBBl is None:
sigmas = np.array([[c.sigmas for c in d.components] for d in self.obs_distns])
mus = np.array([[c.mu for c in d.components] for d in self.obs_distns])
weights = np.array([d.weights.weights for d in self.obs_distns])
changepoints = np.array(self.changepoints).astype('int32')
if self.model.temperature is not None:
sigmas *= self.model.temperature
from pyhsmm.util.temp import gmm_likes
self._aBBl = np.empty((self.Tblock,self.num_states))
gmm_likes(self.data,sigmas,mus,weights,changepoints,self._aBBl)
return self._aBBl
