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. Read more in the User Guide.
- Parameters
- n_samplesint or tuple of shape (2,), dtype=int, default=100
If int, the total number of points generated. If two-element tuple, number of points in each of two moons.
Changed in version 0.23: Added two-element tuple.
- shufflebool, default=True
Whether to shuffle the samples.
- noisefloat, default=None
Standard deviation of Gaussian noise added to the data.
- random_stateint, RandomState instance or None, default=None
Determines random number generation for dataset shuffling and noise. Pass an int for reproducible output across multiple function calls. See Glossary.
- Returns
- Xndarray of shape (n_samples, 2)
The generated samples.
- yndarray of shape (n_samples,)
The integer labels (0 or 1) for class membership of each sample.