bsFolds                 Bootstrapping folds
classify                Classification model
classifyPairs           Classification model for pairs of algorithms
cluster                 Cluster model
contributions           Analysis functions
cvFolds                 Cross-validation folds
imputeCensored          Impute censored values
input                   Read data
llama-package           Leveraging Learning to Automatically Manage
                        Algorithms
misclassificationPenalties
                        Misclassification penalty
normalize               Normalize features
parscores               Penalized average runtime score
perfScatterPlot         Plot convenience functions to visualise
                        selectors
print.llama.data        Helpers
regression              Regression model
regressionPairs         Regression model for pairs of algorithms
satsolvers              Example data for Leveraging Learning to
                        Automatically Manage Algorithms
successes               Success
trainTest               Train / test split
tuneModel               Tune the hyperparameters of the machine
                        learning algorithm underlying a model
vbs                     Convenience functions
