def _updatemodel(self, new_model):
'''
Required extension of _updatemodel. Adds 'B', which holds
the in-state information. Specfically, the different PMFs.
'''
_BaseHMM._updatemodel(self, new_model) #@UndefinedVariable
self.B = new_model['B']
def _updatemodel(self,new_model):
'''
Required extension of _updatemodel. Adds 'B', which holds
the in-state information. Specfically, the different PMFs.
'''
_BaseHMM._updatemodel(self,new_model) #@UndefinedVariable
self.B = new_model['B']
def _updatemodel(self, new_model):
'''
This function updates the values of model attributes. Namely
self.ICMparams, self.A, self.pi and self.icms.
Note that this doesn't update the probabilities B_maps
'''
self.ICMparams = new_model['ICMparams']
packed_params = self.pack_params(self.ICMparams)
self._update_emission_params(packed_params)
_BaseHMM._updatemodel(self, new_model)
def _updatemodel(self,new_model):
'''
Required extension of _updatemodel. Adds 'w', 'means', 'covars',
which holds the in-state information. Specfically, the parameters
of the different mixtures.
'''
_BaseHMM._updatemodel(self,new_model) #@UndefinedVariable
self.w = new_model['w']
self.means = new_model['means']
self.covars = new_model['covars']
def _updatemodel(self, new_model):
'''
Required extension of _updatemodel. Adds 'w', 'means', 'covars',
which holds the in-state information. Specfically, the parameters
of the different mixtures.
'''
_BaseHMM._updatemodel(self, new_model) #@UndefinedVariable
self.w = new_model['w']
self.means = new_model['means']
self.covars = new_model['covars']
def _updatemodel(self, new_model):
'''
This function updates the values of model attributes. Namely
self.LFMparams, self.A, self.pi and self.lfms.
Note that this doesn't update the probabilities B_maps
'''
self.LFMparams = new_model['LFMparams']
packed_params = self.pack_params(self.LFMparams)
self._update_emission_params(packed_params)
_BaseHMM._updatemodel(self, new_model)
# erasing the covariances cache since the parameters were updated.
self.memo_covs = {}
