Leveraging Learning to Automatically Manage Algorithms

Documentation for package ‘llama’ version 0.4

llama-package	Leveraging Learning to Automatically Manage Algorithms
classify	Classification model
classifyPairs	Classification model for pairs of algorithms
cluster	Cluster model
cvFolds	Cross-validation folds
featureFilter	Feature filtering
imputeCensored	Impute censored values
input	Read data
llama	Leveraging Learning to Automatically Manage Algorithms
misclassificationPenalties	Misclassification penalty
normalize	Normalize features
parscores	Penalized average runtime score
regression	Regression model
satsolvers	Example data for Leveraging Learning to Automatically Manage Algorithms
singleBest	Convenience functions
successes	Success
trainTest	Train / test split
vbs	Convenience functions