jax.random.poisson#
- jax.random.poisson(key, lam, shape=None, dtype=<class 'int'>)[source]#
Sample Poisson random values with given shape and integer dtype.
The values are distributed according to the probability mass function:
\[f(k; \lambda) = \frac{\lambda^k e^{-\lambda}}{k!}\]Where k is a non-negative integer and \(\lambda > 0\).
- Parameters:
key (
Union
[Array
,ndarray
,bool_
,number
,bool
,int
,float
,complex
]) – a PRNG key used as the random key.lam (
Union
[Array
,ndarray
,bool_
,number
,bool
,int
,float
,complex
]) – rate parameter (mean of the distribution), must be >= 0. Must be broadcast-compatible withshape
shape (
Optional
[Sequence
[int
]]) – optional, a tuple of nonnegative integers representing the result shape. Default (None) produces a result shape equal tolam.shape
.dtype (
Union
[str
,type
[Any
],dtype
,SupportsDType
]) – optional, a integer dtype for the returned values (default int64 if jax_enable_x64 is true, otherwise int32).
- Return type:
- Returns:
A random array with the specified dtype and with shape given by
shape
ifshape is not None, or else by ``lam.shape
.