sklearn.datasets
.make_spd_matrix¶
- sklearn.datasets.make_spd_matrix(n_dim, *, random_state=None)[source]¶
Generate a random symmetric, positive-definite matrix.
Read more in the User Guide.
- Parameters:
- n_dimint
The matrix dimension.
- random_stateint, RandomState instance or None, default=None
Determines random number generation for dataset creation. Pass an int for reproducible output across multiple function calls. See Glossary.
- Returns:
- Xndarray of shape (n_dim, n_dim)
The random symmetric, positive-definite matrix.
See also
make_sparse_spd_matrix
Generate a sparse symmetric definite positive matrix.
Examples
>>> from sklearn.datasets import make_spd_matrix >>> make_spd_matrix(n_dim=2, random_state=42) array([[2.09..., 0.34...], [0.34..., 0.21...]])