00b4b8369e1b9f090e8dbdc17d9d1867e3e48674,smac/smbo/rf_with_instances.py,RandomForestWithInstances,predict,#RandomForestWithInstances#Any#,102

Before Change

            X_ = np.concatenate((X_, I_), axis=1)

        mu, var = super(RandomForestWithInstances, self).predict(X_)

        return mu.mean(), var.mean()

After Change

            X_ = np.concatenate((X_, I_), axis=1)

        mean = np.zeros(Xtest.shape[0])
        var = np.zeros(Xtest.shape[0])

        // TODO: Would be nice if the random forest supports batch predictions
        for i, x in enumerate(Xtest):
            mean[i], var[i] = self.rf.predict(x)

Instances