adj2lapl | Generate a graph Laplacian |
adj2nlapl | Generate a normalized graph Laplacian |
gel_init | Initializer for GELnet models |
gelnet | GELnet model definition |
gelnet_blr_obj | Binary logistic regression objective function |
gelnet_blr_opt | GELnet optimizer for binary logistic regression |
gelnet_cv | k-fold cross-validation for parameter tuning. |
gelnet.ker | Kernel models for linear regression, binary classification... |
gelnet_lin_obj | Linear regression objective function |
gelnet_lin_opt | GELnet optimizer for linear regression |
gelnet_oclr_obj | One-class logistic regression objective function |
gelnet_oclr_opt | GELnet optimizer for one-class logistic regression |
gelnet_train | Trains a GELnet model |
L1_ceiling | The largest meaningful value of the L1 parameter |
model_blr | Binary logistic regression |
model_lin | Linear regression |
model_oclr | One-class logistic regression |
perturb.gelnet | Perturbs a GELnet model |
plus-.geldef | Composition operator for GELnet model definition |
rglz_L1 | L1 regularizer |
rglz_L2 | L2 regularizer |
rglz_nf | Alternative L1 regularizer |
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