sklearn.datasets.make_s_curve — scikit-learn 0.20.4 documentation (original) (raw)
sklearn.datasets. make_s_curve(n_samples=100, noise=0.0, random_state=None)[source]¶
Generate an S curve dataset.
Read more in the User Guide.
| Parameters: | n_samples : int, optional (default=100) The number of sample points on the S curve. noise : float, optional (default=0.0) The standard deviation of the gaussian noise. random_state : int, RandomState instance or None (default) Determines random number generation for dataset creation. Pass an int for reproducible output across multiple function calls. See Glossary. |
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| Returns: | X : array of shape [n_samples, 3] The points. t : array of shape [n_samples] The univariate position of the sample according to the main dimension of the points in the manifold. |