useDynLib(TunePareto)

export(
as.interval,
allCombinations,
tunePareto,
tuneParetoClassifier,
tunePareto.knn,
tunePareto.tree,
tunePareto.randomForest,
tunePareto.svm,
tunePareto.NaiveBayes,
trainTuneParetoClassifier,
predict.TuneParetoModel,
recalculateParetoSet,
mergeTuneParetoResults,
plotDominationGraph,
plotParetoFronts2D,
plotObjectivePairs,
createObjective,
reclassAccuracy,
reclassError,
reclassWeightedError,
reclassSensitivity,
reclassRecall,
reclassTruePositive,
reclassSpecificity,
reclassTrueNegative,
reclassFallout,
reclassFalsePositive,
reclassMiss,
reclassFalseNegative,
reclassPrecision,
reclassPPV,
reclassNPV,
reclassConfusion,
cvAccuracy,
cvError,
cvErrorVariance,
cvWeightedError,
cvSensitivity,
cvRecall,
cvTruePositive,
cvSpecificity,
cvTrueNegative,
cvFallout,
cvFalsePositive,
cvMiss,
cvFalseNegative,
cvPrecision,
cvPPV,
cvNPV,
cvConfusion,
reclassification,
crossValidation,
print.TuneParetoResult,
print.TuneParetoModel,
print.TuneParetoClassifier,
rankByDesirability,
generateCVRuns
)

