jax.random.generalized_normal#
- jax.random.generalized_normal(key, p, shape=(), dtype=<class 'float'>)[source]#
Sample from the generalized normal distribution.
The values are returned according to the probability density function:
\[f(x;p) \propto e^{-|x|^p}\]on the domain \(-\infty < x < \infty\), where \(p > 0\) is the shape parameter.
- Parameters:
key (
Union[Array,ndarray,bool_,number,bool,int,float,complex]) – a PRNG key used as the random key.p (
float) – a float representing the shape parameter.shape (
Sequence[int]) – optional, the batch dimensions of the result. Default ().dtype (
Union[str,type[Any],dtype,SupportsDType]) – optional, a float dtype for the returned values (default float64 if jax_enable_x64 is true, otherwise float32).
- Return type:
- Returns:
A random array with the specified shape and dtype.