sklearn.datasets.make_moons¶
- sklearn.datasets.make_moons(n_samples=100, shuffle=True, noise=None, random_state=None)[source]¶
Make two interleaving half circles
A simple toy dataset to visualize clustering and classification algorithms.
Parameters: n_samples : int, optional (default=100)
The total number of points generated.
shuffle : bool, optional (default=True)
Whether to shuffle the samples.
noise : double or None (default=None)
Standard deviation of Gaussian noise added to the data.
Read more in the :ref:`User Guide <sample_generators>`. :
Returns: X : array of shape [n_samples, 2]
The generated samples.
y : array of shape [n_samples]
The integer labels (0 or 1) for class membership of each sample.
