| gensvm-package | GenSVM: A Generalized Multiclass Support Vector Machine |
| coef.gensvm | Get the coefficients of the fitted GenSVM model |
| coef.gensvm.grid | Get the parameter grid from a GenSVM Grid object |
| fitted.gensvm | Show fitted labels for the GenSVM model |
| fitted.gensvm.grid | Fitted labels for the GenSVMGrid class |
| gensvm | Fit the GenSVM model |
| gensvm.accuracy | Compute the accuracy score |
| gensvm.generate.cv.idx | Generate a vector of cross-validation indices |
| gensvm.grid | Cross-validated grid search for GenSVM |
| gensvm.load.full.grid | Load a large parameter grid for the GenSVM grid search |
| gensvm.load.small.grid | Load the small parameter grid for the GenSVM grid search |
| gensvm.load.tiny.grid | Load a tiny parameter grid for the GenSVM grid search |
| gensvm.maxabs.scale | Scale each column of a matrix by its maximum absolute value |
| gensvm.package | GenSVM: A Generalized Multiclass Support Vector Machine |
| gensvm.rank.score | Compute the ranks for the numbers in a given vector |
| gensvm.refit | Train an already fitted model on new data |
| gensvm.train.test.split | Create a train/test split of a dataset |
| plot.gensvm | Plot the simplex space of the fitted GenSVM model |
| plot.gensvm.grid | Plot the simplex space of the best fitted model in the GenSVMGrid |
| predict.gensvm | Predict class labels with the GenSVM model |
| predict.gensvm.grid | Predict class labels from the GenSVMGrid class |
| print.gensvm | Print the fitted GenSVM model |
| print.gensvm.grid | Print the fitted GenSVMGrid model |