mlrFamilies.Rd
List of all mlr documentation families with members.
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 |
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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 |