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`sklearn.utils`.check_random_state¶

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

Turn seed into a np.random.RandomState instance

Parameters

seedNone, int or 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`¶

Empirical evaluation of the impact of k-means initialization — Empirical evaluation of the impact of k-means initialization¶

MNIST classification using multinomial logistic + L1 — MNIST classification using multinomial logistic + L1¶

Manifold Learning methods on a severed sphere — Manifold Learning methods on a severed sphere¶

Isotonic Regression — Isotonic Regression¶

Face completion with a multi-output estimators — Face completion with a multi-output estimators¶

Scaling the regularization parameter for SVCs — Scaling the regularization parameter for SVCs¶