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| adj2lapl | Generate a graph Laplacian |
| adj2nlapl | Generate a normalized graph Laplacian |
| gelnet.klr | Kernel logistic regression |
| gelnet.kor | Kernel one-class regression |
| gelnet.krr | Kernel ridge regression |
| gelnet.L1bin | A GELnet model with a requested number of non-zero weights |
| gelnet.lin | GELnet for linear regression |
| gelnet.lin.obj | Linear regression objective function value |
| gelnet.logreg | GELnet for logistic regression |
| gelnet.logreg.obj | Logistic regression objective function value |
| gelnet.oneclass | GELnet for one-class regression |
| gelnet.oneclass.obj | One-class regression objective function value |
| L1.ceiling | The largest meaningful value of the L1 parameter |