Learn R Programming
⚠️There's a newer version (0.1.2) of this package.Take me there.

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.

Copy Link

Version

Install

install.packages('aslib')

Monthly Downloads

298

Version

0.1

License

GPL-3

Issues

4

Pull Requests

0

Stars

7

Forks

6

Maintainer

Lars Kotthoff

Last Published

November 25th, 2016

Functions in aslib (0.1)

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.