sklearn.datasets.make_s_curve
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sklearn.datasets.make_s_curve(n_samples=100, noise=0.0, random_state=None)
[source]
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Generate an S curve dataset.
Read more in the User Guide.
Parameters: |
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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. |
Returns: |
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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. |
Examples using sklearn.datasets.make_s_curve