jax.scipy.special.logit#
- jax.scipy.special.logit(x) = <jax._src.custom_derivatives.custom_jvp object>[source]#
Logit ufunc for ndarrays.
LAX-backend implementation of
scipy.special.logit().Original docstring below.
The logit function is defined as logit(p) = log(p/(1-p)). Note that logit(0) = -inf, logit(1) = inf, and logit(p) for p<0 or p>1 yields nan.
- Parameters:
x (ndarray) – The ndarray to apply logit to element-wise.
out (ndarray, optional) – Optional output array for the function results
- Returns:
An ndarray of the same shape as x. Its entries are logit of the corresponding entry of x.
- Return type:
scalar or ndarray