| adj2lapl | Generate a graph Laplacian |
| adj2nlapl | Generate a normalized graph Laplacian |
| gelnet | GELnet for linear regression, binary classification and one-class problems. |
| gelnet.cv | k-fold cross-validation for parameter tuning. |
| gelnet.ker | Kernel models for linear regression, binary classification and one-class problems. |
| gelnet.lin.obj | Linear regression objective function value |
| gelnet.logreg.obj | Logistic regression objective function value |
| gelnet.oneclass.obj | One-class regression objective function value |
| L1.ceiling | The largest meaningful value of the L1 parameter |