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- X (