cupynumeric.random.standard_t#

cupynumeric.random.standard_t(df, size=None)#

Draw samples from a standard Student’s t distribution with df degrees of freedom.

A special case of the hyperbolic distribution. As df gets large, the result resembles that of the standard normal distribution (standard_normal).

Parameters:

df (float) – Degrees of freedom, must be > 0.
size (int or tuple of ints, optional) – Output shape. If the given shape is, e.g., (m, n, k), then m * n * k samples are drawn. Default is None, in which case a single value is returned.

Returns:

out – Drawn samples from the parameterized standard Student’s t distribution.

Return type:

ndarray or scalar