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List of all mlr documentation families with members.

Arguments

benchmark

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

calibration

generateCalibrationData, plotCalibration

configure

configureMlr, getMlrOptions

costsens

makeCostSensTask, makeCostSensWeightedPairsWrapper

debug

predictFailureModel, getPredictionDump, getRRDump, print.ResampleResult

downsample

downsample

eda_and_preprocess

capLargeValues, createDummyFeatures, dropFeatures, mergeSmallFactorLevels, normalizeFeatures, removeConstantFeatures, summarizeColumns, summarizeLevels

extractFDAFeatures

reextractFDAFeatures

fda_featextractor

extractFDAFourier, extractFDAWavelets, extractFDAFPCA, extractFDAMultiResFeatures

fda

makeExtractFDAFeatMethod, extractFDAFeatures

featsel

analyzeFeatSelResult, makeFeatSelControl, getFeatSelResult, selectFeatures

filter

filterFeatures, makeFilter, listFilterMethods, getFilteredFeatures, generateFilterValuesData, getFilterValues

generate_plot_data

generateFeatureImportanceData, plotFilterValues, generatePartialDependenceData

help

helpLearner, helpLearnerParam

imbalancy

oversample, smote

impute

makeImputeMethod, imputeConstant, impute, reimpute

learner

getClassWeightParam, getHyperPars, getParamSet.Learner, getLearnerType, getLearnerId, getLearnerPredictType, getLearnerPackages, getLearnerParamSet, getLearnerParVals, setLearnerId, getLearnerShortName, getLearnerProperties, makeLearner, makeLearners, removeHyperPars, setHyperPars, setId, setPredictThreshold, setPredictType

learning_curve

generateLearningCurveData

multilabel

getMultilabelBinaryPerformances, makeMultilabelBinaryRelevanceWrapper, makeMultilabelClassifierChainsWrapper, makeMultilabelDBRWrapper, makeMultilabelNestedStackingWrapper, makeMultilabelStackingWrapper

performance

calculateConfusionMatrix, calculateROCMeasures, makeCustomResampledMeasure, makeCostMeasure, setMeasurePars, setAggregation, makeMeasure, featperc, performance, estimateRelativeOverfitting

plot

createSpatialResamplingPlots, plotLearningCurve, plotPartialDependence, plotBMRSummary, plotResiduals

predict

asROCRPrediction, getPredictionProbabilities, getPredictionTaskDesc, getPredictionResponse, predict.WrappedModel

resample

makeResampleDesc, makeResampleInstance, makeResamplePrediction, resample, getRRPredictions, getRRTaskDescription, getRRTaskDesc, getRRPredictionList, addRRMeasure

task

getTaskDesc, getTaskType, getTaskId, getTaskTargetNames, getTaskClassLevels, getTaskFeatureNames, getTaskNFeats, getTaskSize, getTaskFormula, getTaskTargets, getTaskData, getTaskCosts, subsetTask

thresh_vs_perf

generateThreshVsPerfData, plotThreshVsPerf, plotROCCurves

tune

getNestedTuneResultsX, getNestedTuneResultsOptPathDf, getResamplingIndices, getTuneResult, makeModelMultiplexerParamSet, makeModelMultiplexer, makeTuneControlCMAES, makeTuneControlDesign, makeTuneControlGenSA, makeTuneControlGrid, makeTuneControlIrace, makeTuneControlMBO, makeTuneControl, makeTuneControlRandom, tuneParams, tuneThreshold

tune_multicrit

plotTuneMultiCritResult, makeTuneMultiCritControl, tuneParamsMultiCrit

wrapper

makeBaggingWrapper, makeClassificationViaRegressionWrapper, makeConstantClassWrapper, makeCostSensClassifWrapper, makeCostSensRegrWrapper, makeDownsampleWrapper, makeDummyFeaturesWrapper, makeExtractFDAFeatsWrapper, makeFeatSelWrapper, makeFilterWrapper, makeImputeWrapper, makeMulticlassWrapper, makeOverBaggingWrapper, makeUndersampleWrapper, makePreprocWrapperCaret, makePreprocWrapper, makeRemoveConstantFeaturesWrapper, makeSMOTEWrapper, makeTuneWrapper, makeWeightedClassesWrapper