List of all mlr documentation families with members.
batchmark, reduceBatchmarkResults, benchmark, benchmarkParallel, getBMRTaskIds, getBMRLearners, getBMRLearnerIds, getBMRLearnerShortNames, getBMRMeasures, getBMRMeasureIds, getBMRPredictions, getBMRPerformances, getBMRAggrPerformances, getBMRTuneResults, getBMRFeatSelResults, getBMRFilteredFeatures, getBMRModels, getBMRTaskDescs, convertBMRToRankMatrix, friedmanPostHocTestBMR, friedmanTestBMR, plotBMRBoxplots, plotBMRRanksAsBarChart, generateCritDifferencesData, plotCritDifferences
generateCalibrationData, plotCalibration
configureMlr, getMlrOptions
makeCostSensTask, makeCostSensWeightedPairsWrapper
predictFailureModel, getPredictionDump, getRRDump, print.ResampleResult
downsample
capLargeValues, createDummyFeatures, dropFeatures, mergeSmallFactorLevels, normalizeFeatures, removeConstantFeatures, summarizeColumns, summarizeLevels
reextractFDAFeatures
extractFDAFourier, extractFDAWavelets, extractFDAFPCA, extractFDAMultiResFeatures
makeExtractFDAFeatMethod, extractFDAFeatures
analyzeFeatSelResult, makeFeatSelControl, getFeatSelResult, selectFeatures
filterFeatures, makeFilter, listFilterMethods, getFilteredFeatures, generateFilterValuesData, getFilterValues
generateFeatureImportanceData, plotFilterValues, generatePartialDependenceData
helpLearner, helpLearnerParam
oversample, smote
makeImputeMethod, imputeConstant, impute, reimpute
getClassWeightParam, getHyperPars, getParamSet.Learner, getLearnerType, getLearnerId, getLearnerPredictType, getLearnerPackages, getLearnerParamSet, getLearnerParVals, setLearnerId, getLearnerShortName, getLearnerProperties, makeLearner, makeLearners, removeHyperPars, setHyperPars, setId, setPredictThreshold, setPredictType
generateLearningCurveData
getMultilabelBinaryPerformances, makeMultilabelBinaryRelevanceWrapper, makeMultilabelClassifierChainsWrapper, makeMultilabelDBRWrapper, makeMultilabelNestedStackingWrapper, makeMultilabelStackingWrapper
calculateConfusionMatrix, calculateROCMeasures, makeCustomResampledMeasure, makeCostMeasure, setMeasurePars, setAggregation, makeMeasure, featperc, performance, estimateRelativeOverfitting
createSpatialResamplingPlots, plotLearningCurve, plotPartialDependence, plotBMRSummary, plotResiduals
asROCRPrediction, getPredictionProbabilities, getPredictionTaskDesc, getPredictionResponse, predict.WrappedModel
makeResampleDesc, makeResampleInstance, makeResamplePrediction, resample, getRRPredictions, getRRTaskDescription, getRRTaskDesc, getRRPredictionList, addRRMeasure
getTaskDesc, getTaskType, getTaskId, getTaskTargetNames, getTaskClassLevels, getTaskFeatureNames, getTaskNFeats, getTaskSize, getTaskFormula, getTaskTargets, getTaskData, getTaskCosts, subsetTask
generateThreshVsPerfData, plotThreshVsPerf, plotROCCurves
getNestedTuneResultsX, getNestedTuneResultsOptPathDf, getResamplingIndices, getTuneResult, makeModelMultiplexerParamSet, makeModelMultiplexer, makeTuneControlCMAES, makeTuneControlDesign, makeTuneControlGenSA, makeTuneControlGrid, makeTuneControlIrace, makeTuneControlMBO, makeTuneControl, makeTuneControlRandom, tuneParams, tuneThreshold
plotTuneMultiCritResult, makeTuneMultiCritControl, tuneParamsMultiCrit
makeBaggingWrapper, makeClassificationViaRegressionWrapper, makeConstantClassWrapper, makeCostSensClassifWrapper, makeCostSensRegrWrapper, makeDownsampleWrapper, makeDummyFeaturesWrapper, makeExtractFDAFeatsWrapper, makeFeatSelWrapper, makeFilterWrapper, makeImputeWrapper, makeMulticlassWrapper, makeOverBaggingWrapper, makeUndersampleWrapper, makePreprocWrapperCaret, makePreprocWrapper, makeRemoveConstantFeaturesWrapper, makeSMOTEWrapper, makeTuneWrapper, makeWeightedClassesWrapper