scipy.stats.sampling.NumericalInversePolynomial.set_random_state

NumericalInversePolynomial.set_random_state(random_state=None)

Set the underlying uniform random number generator.

Parameters:

random_state{None, int, numpy.random.Generator,

numpy.random.RandomState}, optional

A NumPy random number generator or seed for the underlying NumPy random number generator used to generate the stream of uniform random numbers. If random_state is None (or np.random), the numpy.random.RandomState singleton is used. If random_state is an int, a new RandomState instance is used, seeded with random_state. If random_state is already a Generator or RandomState instance then that instance is used.