beca449663b1fc6b3e98f56c9e7875793cef21db,dipy/align/imaffine.py,MattesMIMetric,gradient,#MattesMIMetric#Any#,250

Before Change

        grad : array, shape (n,)
            the gradient of the negative Mutual Information
        
        if self.samples is None:
            self._update_dense(xopt, True)
        else:
            self._update_dense(xopt, True)
        return self.metric_grad * (-1)

    def value_and_gradient(self, xopt):
        r Numeric value of the metric and its gradient at given parameters

After Change

        grad : array, shape (n,)
            the gradient of the negative Mutual Information
        
        self._update(True)
        return -1 * self.metric_grad

    def value_and_gradient(self, params):
        r Numeric value of the metric and its gradient at given parameters

Instances