55bd09be272701797abcf9e549fffe8b0311e387,elfi/bo/gpy_model.py,GPyRegression,evaluate,#GPyRegression#Any#,74

Before Change

        -------
        gp (mean, s2, s) at x : (float, float, float)
        
        if self.gp is None:
            // TODO: return from GP prior
            return 0.0, 0.0, 0.0
        m, s2 = self.gp.predict(np.atleast_2d(x))
        return m, s2, np.sqrt(s2)

    def eval_mean(self, x):
        Returns the GP model mean function at x.

After Change

                var : np.array
                    with shape (len(x), input_dim)
        
        if self._gp is None:
            // TODO: return from GP mean function if given
            return np.zeros(len(x), self.input_dim), \
                   np.ones(len(x), self.input_dim)

        // Need to cast as 2d array for gpy
        x = x.reshape((-1, self.input_dim))
        return self._gp.predict(x)

    def evaluate_mean(self, x):

Instances