def updateExpectations(self):
self.value = 2 * lambdafn(
self.markov_blanket["Y"].getParameters()["zeta"])
def updateExpectations(self):
self.E = (2. * self.obs - 1.) / (4. * lambdafn(self.params["zeta"]))
self.means = self.E.mean(axis=0).data
self.E -= self.means
def updateExpectations(self):
self.E = (2. * self.obs - 1.) / (4. * lambdafn(self.params["zeta"]))
# regress out feature-wise mean from the pseudodata
self.means = self.E.mean(axis=0).data
self.E -= self.means