jax.scipy.stats.logistic.isf#

jax.scipy.stats.logistic.isf(x, loc=0, scale=1)[source]#

Inverse survival function (inverse of sf) at q of the given RV.

LAX-backend implementation of scipy.stats._distn_infrastructure.isf().

Original docstring below.

Parameters:

  • q (array_like) – upper tail probability

  • arg1 (array_like) – The shape parameter(s) for the distribution (see docstring of the instance object for more information)

  • arg2 (array_like) – The shape parameter(s) for the distribution (see docstring of the instance object for more information)

  • arg3 (array_like) – The shape parameter(s) for the distribution (see docstring of the instance object for more information)

  • ... (array_like) – The shape parameter(s) for the distribution (see docstring of the instance object for more information)

  • loc (array_like, optional) – location parameter (default=0)

  • scale (array_like, optional) – scale parameter (default=1)

  • x (Union[Array, ndarray, bool_, number, bool, int, float, complex]) –

Returns:

x – Quantile corresponding to the upper tail probability q.

Return type:

ndarray or scalar