jax.random.f#
- jax.random.f(key, dfnum, dfden, shape=None, dtype=<class 'float'>)[source]#
Sample F-distribution random values with given shape and float dtype.
The values are distributed according to the probability density function:
\[f(x; \nu) \propto x^{\nu_1/2 - 1}\left(1 + \frac{\nu_1}{\nu_2}x\right)^{ -(\nu_1 + \nu_2) / 2}\]on the domain \(0 < x < \infty\). Here \(\nu_1\) is the degrees of freedom of the numerator (
dfnum), and \(\nu_2\) is the degrees of freedom of the denominator (dfden).- Parameters:
key (
Union[Array,ndarray,bool_,number,bool,int,float,complex]) – a PRNG key used as the random key.dfnum (
Union[Array,ndarray,bool_,number,bool,int,float,complex]) – a float or array of floats broadcast-compatible withshaperepresenting the numerator’sdfof the distribution.dfden (
Union[Array,ndarray,bool_,number,bool,int,float,complex]) – a float or array of floats broadcast-compatible withshaperepresenting the denominator’sdfof the distribution.shape (
Optional[Sequence[int]]) – optional, a tuple of nonnegative integers specifying the result shape. Must be broadcast-compatible withdfnumanddfden. The default (None) produces a result shape equal todfnum.shape, anddfden.shape.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 dtype and with shape given by
shapeifshapeis not None, or else bydf.shape.