separability_matrix¶
- astropy.modeling.separable.separability_matrix(transform)[source]¶
Compute the correlation between outputs and inputs.
- Parameters:
- transform
Model
A (compound) model.
- transform
- Returns:
- separable_matrix
ndarray
A boolean correlation matrix of shape (n_outputs, n_inputs). Indicates the dependence of outputs on inputs. For completely independent outputs, the diagonal elements are True and off-diagonal elements are False.
- separable_matrix
Examples
>>> from astropy.modeling.models import Shift, Scale, Rotation2D, Polynomial2D >>> separability_matrix(Shift(1) & Shift(2) | Scale(1) & Scale(2)) array([[ True, False], [False, True]]...) >>> separability_matrix(Shift(1) & Shift(2) | Rotation2D(2)) array([[ True, True], [ True, True]]...) >>> separability_matrix(Shift(1) & Shift(2) | Mapping([0, 1, 0, 1]) | Polynomial2D(1) & Polynomial2D(2)) array([[ True, True], [ True, True]]...) >>> separability_matrix(Shift(1) & Shift(2) | Mapping([0, 1, 0, 1])) array([[ True, False], [False, True], [ True, False], [False, True]]...)