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llama (version 0.9.2)
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
0.9.2
License
BSD_3_clause + file LICENSE
Maintainer
Lars Kotthoff
Last Published
July 11th, 2018
Functions in llama (0.9.2)
Search functions
satsolvers
Example data for Leveraging Learning to Automatically Manage Algorithms
tune
Tune the hyperparameters of the machine learning algorithm underlying a model
normalize
Normalize features
imputeCensored
Impute censored values
llama-package
Leveraging Learning to Automatically Manage Algorithms
classifyPairs
Classification model for pairs of algorithms
bsFolds
Bootstrapping folds
classify
Classification model
analysis
Analysis functions
input
Read data
cvFolds
Cross-validation folds
cluster
Cluster model
helpers
Helpers
trainTest
Train / test split
misc
Convenience functions
successes
Success
plot
Plot convenience functions to visualise selectors
regressionPairs
Regression model for pairs of algorithms
misclassificationPenalties
Misclassification penalty
parscores
Penalized average runtime score
regression
Regression model