# cupy.random.logistic#

cupy.random.logistic(loc=0.0, scale=1.0, size=None, dtype=<class 'float'>)[source]#

Logistic distribution.

Returns an array of samples drawn from the logistic distribution. Its probability density function is defined as

$f(x) = \frac{e^{-(x-\mu)/s}}{s(1+e^{-(x-\mu)/s})^2}.$
Parameters
• loc (float) – The location of the mode $$\mu$$.

• scale (float) – The scale parameter $$s$$.

• 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 and numpy.float64 types are allowed.

Returns

Samples drawn from the logistic distribution.

Return type

cupy.ndarray