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aslib (version 0.1.3)

Interface to the Algorithm Selection Benchmark Library

Description

Provides an interface to the algorithm selection benchmark library at and the 'LLAMA' package () for building algorithm selection models; see Bischl et al. (2016) .

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Install

install.packages('aslib')

Monthly Downloads

319

Version

0.1.3

License

GPL-3

Issues

4

Pull Requests

0

Stars

7

Forks

6

Maintainer

Lars Kotthoff

Last Published

August 19th, 2025

Functions in aslib (0.1.3)

getNumberOfCVFolds

Returns number of CV folds.
getNumberOfCVReps

Returns number of CV repetitions.
runLlamaModels

Creates a registry which can be used for running several Llama models on a cluster.
summarizeFeatureValues

Creates summary data.frame for feature values across all instances.
summarizeAlgoRunstatus

Creates summary data.frame for algorithm runstatus across all instances.
plotAlgoCorMatrix

Plots the correlation matrix of the algorithms.
plotAlgoPerf

EDA plots for performance values of algorithms across all instances.
writeASScenario

Writes an algorithm selection scenario to a directory.
summarizeAlgoPerf

Creates summary data.frame for algorithm performance values across all instances.
summarizeLlamaExps

Creates summary data.table for runLlamaModel experiments.
summarizeFeatureSteps

Creates a data.frame that summarizes the feature steps.
parseASScenario

Parses the data files of an algorithm selection scenario into an S3 object.
convertAlgoPerfToWideFormat

Converts algo.runs object of a scenario to wide format.
fixFeckingPresolve

Bakes presolving stuff into a LLAMA data frame.
getCosealASScenario

Retrieves a scenario from the Coseal Github repository and parses into an S3 object.
convertToLlama

Convert an ASScenario scenario object to a llama data object.
checkDuplicatedInstances

Checks the feature data set for duplicated instances.
createCVSplits

Create cross-validation splits for a scenario.
getDefaultFeatureStepNames

Returns the default feature step names of scenario.
getAlgorithmNames

Returns algorithm names of scenario.
ASScenarioDesc

S3 class for ASScenarioDesc.
getCostsAndPresolvedStatus

Return whether an instance was presolved and which step did it.
findDominatedAlgos

Creates a table that shows the dominance of one algorithm over another one.
convertToLlamaCVFolds

Convert an ASScenario scenario object to a llama data object with cross-validation folds.
imputeAlgoPerf

Imputes algorithm performance for runs which have NA performance values.
getSummedFeatureCosts

Returns feature costs of scenario, summed over all instances.
getInstanceNames

Returns instance names of scenario.
getFeatureNames

Returns feature names of scenario.
getFeatureStepNames

Returns feature step names of scenario.
getProvidedFeatures

Return features that are useable for a given set of feature steps.