# scipy.special.pseudo_huber

scipy.special.pseudo_huber(delta, r) = <ufunc 'pseudo_huber'>

  Pseudo-Huber loss function.

  \[\mathrm{pseudo\_huber}(\delta, r) = \delta^2 \left( \sqrt{ 1 + \left( \frac{r}{\delta} \right)^2 } - 1 \right)\]
  Parameters
    delta ndarray

      Input array, indicating the soft quadratic vs. linear loss changepoint.

    r ndarray

      Input array, possibly representing residuals.

  Returns
    res ndarray

      The computed Pseudo-Huber loss function values.

  Notes

  This function is convex in \(r\).

  New in version 0.15.0.

scipy.special.huber scipy.special.gamma