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llama (version 0.9.1)
Leveraging Learning to Automatically Manage Algorithms
Description
Provides functionality to train and evaluate algorithm selection models for portfolios.
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Install
install.packages('llama')
Monthly Downloads
418
Version
0.9.1
License
BSD_3_clause + file LICENSE
Maintainer
Lars Kotthoff
Last Published
December 5th, 2015
Functions in llama (0.9.1)
Search functions
imputeCensored
Impute censored values
helpers
Helpers
satsolvers
Example data for Leveraging Learning to Automatically Manage Algorithms
analysis
Analysis functions
cluster
Cluster model
plot
Plot convenience functions to visualise selectors
llama-package
Leveraging Learning to Automatically Manage Algorithms
successes
Success
regression
Regression model
parscores
Penalized average runtime score
regressionPairs
Regression model for pairs of algorithms
input
Read data
classify
Classification model
classifyPairs
Classification model for pairs of algorithms
misclassificationPenalties
Misclassification penalty
bsFolds
Bootstrapping folds
normalize
Normalize features
tune
Tune the hyperparameters of the machine learning algorithm underlying a model
trainTest
Train / test split
cvFolds
Cross-validation folds
misc
Convenience functions