IIRLRegression¶
-
class
menpofit.math.
IIRLRegression
(alpha=0, bias=False, alpha2=0)[source]¶ Bases:
IRLRegression
Class for training and applying Indirect Incremental Regularized Linear Regression.
- Parameters
alpha (float, optional) – The regularization parameter.
bias (bool, optional) – If
True
, a bias term is used.alpha2 (float, optional) – The regularization parameter of the Hessian.
-
increment
(X, Y)[source]¶ Incrementally update the regression model.
- Parameters
X (
(n_features, n_samples)
ndarray) – The array of feature vectors.Y (
(n_dims, n_samples)
ndarray) – The array of target vectors.
- Raises
ValueError – Model is not incrementable