sklearn.utils.check_random_state()

sklearn.utils.check_random_state(seed) [source]

Turn seed into a np.random.RandomState instance

If seed is None, return the RandomState singleton used by np.random. If seed is an int, return a new RandomState instance seeded with seed. If seed is already a RandomState instance, return it. Otherwise raise ValueError.

Examples using sklearn.utils.check_random_state

Isotonic Regression

Face completion with a multi-output estimators

Empirical evaluation of the impact of k-means initialization

Manifold Learning methods on a severed sphere

Scaling the regularization parameter for SVCs