def predict_density(self, Fmu, Fvar, Y): return densities.gaussian(Fmu, Y, Fvar + self.variance)
def logp(self, F, Y): return densities.gaussian(F, Y, self.variance)
def logp(self, x): return tf.reduce_sum(densities.gaussian(x, self.mu, self.var))
def logp(self, F, Y): return gaussian(self.invlink(F), Y, self.variance)
def logp(self, F, Y): return gaussian(F, Y, self.variance)