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aslib (version 0.1)
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.
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0.1.2
0.1.1
0.1
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Install
install.packages('aslib')
Monthly Downloads
326
Version
0.1
License
GPL-3
Issues
4
Pull Requests
0
Stars
7
Forks
6
Repository
https://github.com/coseal/aslib-r/
Maintainer
Lars Kotthoff
Last Published
November 25th, 2016
Functions in aslib (0.1)
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getAlgorithmNames
Returns algorithm names of scenario.
createCVSplits
Create cross-validation splits for a scenario.
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.
convertAlgoPerfToWideFormat
Converts
algo.runs
object of a scenario to wide format.
convertToLlamaCVFolds
Convert an ASScenario scenario object to a llama data object with cross-validation folds.
fixFeckingPresolve
Bakes presolving stuff into a LLAMA data frame.
findDominatedAlgos
Creates a table that shows the dominance of one algorithm over another one.
checkDuplicatedInstances
Checks the feature data set for duplicated instances.
getProvidedFeatures
Return features that are useable for a given set of feature steps.
getFeatureStepNames
Returns feature step names of scenario.
getSummedFeatureCosts
Returns feature costs of scenario, summed over all instances.
getNumberOfCVFolds
Returns number of CV folds.
getInstanceNames
Returns instance names of scenario.
getDefaultFeatureStepNames
Returns the default feature step names of scenario.
getNumberOfCVReps
Returns number of CV repetitions.
getFeatureNames
Returns feature names of scenario.
plotAlgoCorMatrix
Plots the correlation matrix of the algorithms.
summarizeAlgoPerf
Creates summary data.frame for algorithm performance values across all instances.
imputeAlgoPerf
Imputes algorithm performance for runs which have NA performance values.
summarizeAlgoRunstatus
Creates summary data.frame for algorithm runstatus across all instances.
plotAlgoPerf
EDA plots for performance values of algorithms across all instances.
summarizeFeatureSteps
Creates a data.frame that summarizes the feature steps.
writeASScenario
Writes an algorithm selection scenario to a directory.
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.
getCostsAndPresolvedStatus
Return wether an instance was presolved and which step did it.