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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:

Parameters:	seed : None \| 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.

seed : None | 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

../../_images/sphx_glr_plot_multioutput_face_completion_thumb.png

Face completion with a multi-output estimators

../../_images/sphx_glr_plot_kmeans_stability_low_dim_dense_thumb.png

Empirical evaluation of the impact of k-means initialization

../../_images/sphx_glr_plot_sparse_logistic_regression_mnist_thumb.png

MNIST classfification using multinomial logistic + L1

../../_images/sphx_glr_plot_manifold_sphere_thumb.png

Manifold Learning methods on a severed sphere

../../_images/sphx_glr_plot_svm_scale_c_thumb.png

Scaling the regularization parameter for SVCs

© 2007–2017 The scikit-learn developers
Licensed under the 3-clause BSD License.
http://scikit-learn.org/stable/modules/generated/sklearn.utils.check_random_state.html

sklearn.utils.check_random_state

Examples using sklearn.utils.check_random_state

Examples using `sklearn.utils.check_random_state`