A Generalized Multiclass Support Vector Machine


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Documentation for package ‘gensvm’ version 0.1.7

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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