# scipy.special.huber

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

  Huber loss function.

  \[\begin{split}\text{huber}(\delta, r) = \begin{cases} \infty & \delta < 0 \\ \frac{1}{2}r^2 & 0 \le \delta, | r | \le \delta \\ \delta ( |r| - \frac{1}{2}\delta ) & \text{otherwise} \end{cases}\end{split}\]
  Parameters
    delta ndarray

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

    r ndarray

      Input array, possibly representing residuals.

  Returns
    res ndarray

      The computed Huber loss function values.

  Notes

  This function is convex in r.

  New in version 0.15.0.

scipy.special.kl_div scipy.special.pseudo_huber