Module « scipy.special »

Fonction pseudo_huber - module scipy.special

Signature de la fonction pseudo_huber

Description

pseudo_huber.__doc__

pseudo_huber(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])

pseudo_huber(delta, r)

Pseudo-Huber loss function.

.. math:: \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 :math:`r`.

.. versionadded:: 0.15.0