cupy.random.f#
- cupy.random.f(dfnum, dfden, size=None, dtype=<class 'float'>)[source]#
F distribution.
Returns an array of samples drawn from the f distribution. Its probability density function is defined as
\[f(x) = \frac{1}{B(\frac{d_1}{2},\frac{d_2}{2})} \left(\frac{d_1}{d_2}\right)^{\frac{d_1}{2}} x^{\frac{d_1}{2}-1} \left(1+\frac{d_1}{d_2}x\right) ^{-\frac{d_1+d_2}{2}}.\]- Parameters:
dfnum (float or array_like of floats) – Parameter of the f distribution \(d_1\).
dfden (float or array_like of floats) – Parameter of the f distribution \(d_2\).
size (int or tuple of ints) – The shape of the array. If
None
, a zero-dimensional array is generated.dtype – Data type specifier. Only
numpy.float32
andnumpy.float64
types are allowed.
- Returns:
Samples drawn from the f distribution.
- Return type:
See also