statsmodels.tools.rng_qrng.check_random_state¶

statsmodels.tools.rng_qrng.check_random_state(seed=None)[source]¶

Turn seed into a random number generator.

Parameters:¶

seed{None, int, array_like[ints], numpy.random.Generator,

numpy.random.RandomState, scipy.stats.qmc.QMCEngine}, optional

If seed is None fresh, unpredictable entropy will be pulled from the OS and numpy.random.Generator is used. If seed is an int or array_like[ints], a new Generator instance is used, seeded with seed. If seed is already a Generator, RandomState or scipy.stats.qmc.QMCEngine instance then that instance is used.

scipy.stats.qmc.QMCEngine requires SciPy >=1.7. It also means that the generator only have the method random.

Returns:¶

seed{numpy.random.Generator, numpy.random.RandomState,

scipy.stats.qmc.QMCEngine}

Random number generator.