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