Generalized Elastic Nets
Generate a graph Laplacian
Generate a normalized graph Laplacian
k-fold cross-validation for parameter tuning.
Kernel models for linear regression, binary classification and one-cla...
Linear regression objective function value
Logistic regression objective function value
One-class regression objective function value
GELnet for linear regression, binary classification and one-class prob...
The largest meaningful value of the L1 parameter
Implements several extensions of the elastic net regularization scheme. These extensions include individual feature penalties for the L1 term, feature-feature penalties for the L2 term, as well as translation coefficients for the latter.