def set_helper_params(self):
''' Set dependent attribs of this model, given the primary params U1, U0
This includes expectations of various stickbreaking quantities
'''
assert self.U1.size == self.K
assert self.U0.size == self.K
E = OptimHDP._calcExpectations(self.U1, self.U0)
self.Ebeta = E['beta']
self.Elogv = E['logv']
self.Elog1mv = E['log1-v']
def set_helper_params(self):
''' Set dependent attribs of this model, given the primary params U1, U0
This includes expectations of various stickbreaking quantities
'''
E = OptimHDP._calcExpectations(self.U1, self.U0)
self.Ebeta = E['beta']
self.Elogv = E['logv']
self.Elog1mv = E['log1-v']
self.ElogEps1 = np.log(self.epsilon)
self.ElogEps0 = np.log(1-self.epsilon)
self.ElogTheta = digamma(self.theta) \
- digamma(np.sum(self.theta, axis=1))[:,np.newaxis]
def set_helper_params(self):
''' Set dependent attribs of this model, given the primary params U1, U0
This includes expectations of various stickbreaking quantities
'''
E = OptimHDP._calcExpectations(self.U1, self.U0)
self.Ebeta = E['beta']
self.Elogv = E['logv']
self.Elog1mv = E['log1-v']
self.ElogEps1 = np.log(self.epsilon)
self.ElogEps0 = np.log(1 - self.epsilon)
self.ElogTheta = digamma(self.theta) \
- digamma(np.sum(self.theta, axis=1))[:,np.newaxis]
