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 (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 (str | type[Any] | dtype | SupportsDType) – optional, a float dtype for the returned values (default float64 if jax_enable_x64 is true, otherwise float32).
- Returns:
A random array with the specified shape and dtype.
- Return type: