Retrieves a scenario from the Coseal Github repository and parses into an S3 object.
S3 class for ASScenarioDesc.
Creates a table that shows the dominance of one algorithm over another one.
Convert an ASScenario scenario object to a llama data object with cross-validation folds.
Bakes presolving stuff into a LLAMA data frame.
getCostsAndPresolvedStatus
Return whether an instance was presolved and which step did it.
Returns number of CV folds.
Returns feature names of scenario.
Imputes algorithm performance for runs which have NA performance values.
Returns feature step names of scenario.
Returns number of CV repetitions.
Returns feature costs of scenario, summed over all instances.
getDefaultFeatureStepNames
Returns the default feature step names of scenario.
Returns instance names of scenario.
Return features that are useable for a given set of feature steps.
Creates summary data.table for runLlamaModel experiments.
Creates summary data.frame for feature values across all instances.
EDA plots for performance values of algorithms across all instances.
Writes an algorithm selection scenario to a directory.
Creates summary data.frame for algorithm runstatus across all instances.
Parses the data files of an algorithm selection scenario into an S3 object.
Creates summary data.frame for algorithm performance values across all instances.
Creates a registry which can be used for running several Llama models on a cluster.
Creates a data.frame that summarizes the feature steps.
Plots the correlation matrix of the algorithms.
convertAlgoPerfToWideFormat
Converts algo.runs object of a scenario to wide format.
Convert an ASScenario scenario object to a llama data object.
Create cross-validation splits for a scenario.
Checks the feature data set for duplicated instances.
Returns algorithm names of scenario.