(self, points)
return mean, std
Evaluate the model, but return tensorflow tensors.
Evaluate the model, but return tensorflow tensors.
Evaluate the model but return tensorflow tensors .
def build_evaluation(self, points):
        """Evaluate the model, but return tensorflow tensors."""
        # Build normal prediction
        with self.gaussian_process.tf_mode():
            mean, var = self.gaussian_process.build_predict(points)
        # Construct confidence intervals
        std = self.beta * tf.sqrt(var, name='standard_deviation')
        return mean, std
def build_evaluation ( self , points ) : # Build normal prediction with self . gaussian_process . tf_mode ( ) : mean , var = self . gaussian_process . build_predict ( points ) # Construct confidence intervals std = self . beta * tf . sqrt ( var , name = 'standard_deviation' ) return mean , std