R: mlr documentation families

mlrFamilies {mlr} | R Documentation

## mlr documentation families

### Description

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

[Package mlr version 2.14.0 Index]