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

See also

numpy.random.logistic()