(self, Xnew, Ynew)
return self.likelihood.predict_density(mu, var, Ys)
Compute the (log) density of the data Ynew at the points Xnew
Compute the (log) density of the data Ynew at the points Xnew
Compute the ( log ) density of the data Ynew at the points Xnew
def predict_density(self, Xnew, Ynew):
        """
        Compute the (log) density of the data Ynew at the points Xnew
        """
        mu, var = self.wrapped.build_predict(self.input_transform.build_forward(Xnew))
        Ys = self.output_transform.build_forward(Ynew)
        return self.likelihood.predict_density(mu, var, Ys)
def predict_density ( self , Xnew , Ynew ) : mu , var = self . wrapped . build_predict ( self . input_transform . build_forward ( Xnew ) ) Ys = self . output_transform . build_forward ( Ynew ) return self . likelihood . predict_density ( mu , var , Ys )