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