mlr (version 2.10)

mlrFamilies: mlr documentation families

Description

List of all mlr documentation families with members.

Arguments

benchmark

benchmark, benchmarkParallel, getBMRTaskIds, getBMRLearners, getBMRLearnerIds, getBMRLearnerShortNames, getBMRMeasures, getBMRMeasureIds, getBMRPredictions, getBMRPerformances, getBMRAggrPerformances, getBMRTuneResults, getBMRFeatSelResults, getBMRFilteredFeatures, getBMRModels, getBMRTaskDescriptions, convertBMRToRankMatrix, friedmanPostHocTestBMR, friedmanTestBMR, plotBMRBoxplots, plotBMRRanksAsBarChart, generateCritDifferencesData, plotCritDifferences

calibration

generateCalibrationData, plotCalibration

configure

configureMlr, getMlrOptions

costsens

makeCostSensTask, makeCostSensWeightedPairsWrapper

downsample

downsample

eda_and_preprocess

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

featsel

analyzeFeatSelResult, makeFeatSelControl, getFeatSelResult, selectFeatures

filter

filterFeatures, getFilteredFeatures, generateFilterValuesData, getFilterValues, plotFilterValuesGGVIS

generate_plot_data

generateFeatureImportanceData, plotFilterValues, generatePartialDependenceData, generateFunctionalANOVAData

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, plotLearningCurveGGVIS

multilabel

getMultilabelBinaryPerformances, makeMultilabelBinaryRelevanceWrapper, makeMultilabelClassifierChainsWrapper, makeMultilabelDBRWrapper, makeMultilabelNestedStackingWrapper, makeMultilabelStackingWrapper

performance

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

plot

plotLearningCurve, plotPartialDependence, plotPartialDependenceGGVIS, plotBMRSummary, plotResiduals

predict

asROCRPrediction, plotViperCharts, getPredictionProbabilities, getPredictionResponse, predict.WrappedModel

resample

makeResampleDesc, makeResampleInstance, makeResamplePrediction, resample, getRRPredictions, getRRTaskDescription, getRRPredictionList, addRRMeasure, print.ResampleResult

task

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

thresh_vs_perf

generateThreshVsPerfData, plotThreshVsPerf, plotThreshVsPerfGGVIS, plotROCCurves

tune

getNestedTuneResultsX, getNestedTuneResultsOptPathDf, getTuneResult, makeModelMultiplexerParamSet, makeModelMultiplexer, makeTuneControl, tuneParams, tuneThreshold

tune_multicrit

plotTuneMultiCritResult, plotTuneMultiCritResultGGVIS, makeTuneMultiCritControl, tuneParamsMultiCrit

wrapper

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