sklearn.utils.check_random_state¶

sklearn.utils.check_random_state(seed)[source]¶

Turn seed into a np.random.RandomState instance

Parameters

seedNone | int | instance of RandomState

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¶

MNIST classification using multinomial logistic + L1¶

Manifold Learning methods on a severed sphere¶

Scaling the regularization parameter for SVCs¶