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llama (version 0.10.1)
Leveraging Learning to Automatically Manage Algorithms
Description
Provides functionality to train and evaluate algorithm selection models for portfolios.
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0.10.1
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Install
install.packages('llama')
Monthly Downloads
418
Version
0.10.1
License
BSD_3_clause + file LICENSE
Maintainer
Lars Kotthoff
Last Published
March 16th, 2021
Functions in llama (0.10.1)
Search functions
classify
Classification model
classifyPairs
Classification model for pairs of algorithms
helpers
Helpers
imputeCensored
Impute censored values
analysis
Analysis functions
bsFolds
Bootstrapping folds
input
Read data
llama-package
Leveraging Learning to Automatically Manage Algorithms
parscores
Penalized average runtime score
plot
Plot convenience functions to visualise selectors
regression
Regression model
successes
Success
normalize
Normalize features
regressionPairs
Regression model for pairs of algorithms
satsolvers
Example data for Leveraging Learning to Automatically Manage Algorithms
cvFolds
Cross-validation folds
cluster
Cluster model
misc
Convenience functions
trainTest
Train / test split
tune
Tune the hyperparameters of the machine learning algorithm underlying a model
misclassificationPenalties
Misclassification penalty