mlr: Machine Learning in R
Version 2.11

Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern optimization techniques, for single- and multi-objective problems. Filter and wrapper methods for feature selection. Extension of basic learners with additional operations common in machine learning, also allowing for easy nested resampling. Most operations can be parallelized.

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AuthorBernd Bischl [aut, cre], Michel Lang [aut], Lars Kotthoff [aut], Julia Schiffner [aut], Jakob Richter [aut], Zachary Jones [aut], Giuseppe Casalicchio [aut], Mason Gallo [aut], Jakob Bossek [ctb], Erich Studerus [ctb], Leonard Judt [ctb], Tobias Kuehn [ctb], Pascal Kerschke [ctb], Florian Fendt [ctb], Philipp Probst [ctb], Xudong Sun [ctb], Janek Thomas [ctb], Bruno Vieira [ctb], Laura Beggel [ctb], Quay Au [ctb], Martin Binder [ctb], Florian Pfisterer [ctb], Stefan Coors [ctb]
Date of publication2017-03-15 08:49:11
MaintainerBernd Bischl <bernd_bischl@gmx.net>
LicenseBSD_2_clause + file LICENSE
Version2.11
URL https://github.com/mlr-org/mlr
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("mlr")

Man pages

addRRMeasure: Compute new measures for existing ResampleResult
Aggregation: Aggregation object.
aggregations: Aggregation methods.
agri.task: European Union Agricultural Workforces clustering task.
analyzeFeatSelResult: Show and visualize the steps of feature selection.
asROCRPrediction: Converts predictions to a format package ROCR can handle.
batchmark: Run machine learning benchmarks as distributed experiments.
bc.task: Wisconsin Breast Cancer classification task.
benchmark: Benchmark experiment for multiple learners and tasks.
BenchmarkResult: BenchmarkResult object.
bh.task: Boston Housing regression task.
calculateConfusionMatrix: Confusion matrix.
calculateROCMeasures: Calculate receiver operator measures.
capLargeValues: Convert large/infinite numeric values in a data.frame or...
classif.featureless: Featureless classification learner.
configureMlr: Configures the behavior of the package.
ConfusionMatrix: Confusion matrix
convertBMRToRankMatrix: Convert BenchmarkResult to a rank-matrix.
convertMLBenchObjToTask: Convert a machine learning benchmark / demo object from...
costiris.task: Iris cost-sensitive classification task.
createDummyFeatures: Generate dummy variables for factor features.
crossover: Crossover.
downsample: Downsample (subsample) a task or a data.frame.
dropFeatures: Drop some features of task.
estimateRelativeOverfitting: Estimate relative overfitting.
estimateResidualVariance: Estimate the residual variance.
FailureModel: Failure model.
FeatSelControl: Create control structures for feature selection.
FeatSelResult: Result of feature selection.
filterFeatures: Filter features by thresholding filter values.
friedmanPostHocTestBMR: Perform a posthoc Friedman-Nemenyi test.
friedmanTestBMR: Perform overall Friedman test for a BenchmarkResult.
generateCalibrationData: Generate classifier calibration data.
generateCritDifferencesData: Generate data for critical-differences plot.
generateFeatureImportanceData: Generate feature importance.
generateFilterValuesData: Calculates feature filter values.
generateFunctionalANOVAData: Generate a functional ANOVA decomposition
generateHyperParsEffectData: Generate hyperparameter effect data.
generateLearningCurveData: Generates a learning curve.
generatePartialDependenceData: Generate partial dependence.
generateThreshVsPerfData: Generate threshold vs. performance(s) for 2-class...
getBMRAggrPerformances: Extract the aggregated performance values from a benchmark...
getBMRFeatSelResults: Extract the feature selection results from a benchmark...
getBMRFilteredFeatures: Extract the feature selection results from a benchmark...
getBMRLearnerIds: Return learner ids used in benchmark.
getBMRLearners: Return learners used in benchmark.
getBMRLearnerShortNames: Return learner short.names used in benchmark.
getBMRMeasureIds: Return measures IDs used in benchmark.
getBMRMeasures: Return measures used in benchmark.
getBMRModels: Extract all models from benchmark result.
getBMRPerformances: Extract the test performance values from a benchmark result.
getBMRPredictions: Extract the predictions from a benchmark result.
getBMRTaskDescriptions: Extract all task descriptions from benchmark result...
getBMRTaskDescs: Extract all task descriptions from benchmark result.
getBMRTaskIds: Return task ids used in benchmark.
getBMRTuneResults: Extract the tuning results from a benchmark result.
getCaretParamSet: Get tuning parameters from a learner of the caret R-package.
getClassWeightParam: Get the class weight parameter of a learner.
getConfMatrix: Confusion matrix.
getDefaultMeasure: Get default measure.
getFailureModelDump: Return the error dump of FailureModel.
getFailureModelMsg: Return error message of FailureModel.
getFeatSelResult: Returns the selected feature set and optimization path after...
getFeatureImportance: Calculates feature importance values for trained models.
getFeatureImportanceLearner: Calculates feature importance values for a given learner.
getFilteredFeatures: Returns the filtered features.
getFilterValues: Calculates feature filter values.
getHomogeneousEnsembleModels: Deprecated, use 'getLearnerModel' instead.
getHyperPars: Get current parameter settings for a learner.
getLearnerId: Get the ID of the learner.
getLearnerModel: Get underlying R model of learner integrated into mlr.
getLearnerPackages: Get the required R packages of the learner.
getLearnerParamSet: Get the parameter set of the learner.
getLearnerParVals: Get the parameter values of the learner.
getLearnerPredictType: Get the predict type of the learner.
getLearnerShortName: Get the short name of the learner.
getLearnerType: Get the type of the learner.
getMlrOptions: Returns a list of mlr's options.
getMultilabelBinaryPerformances: Retrieve binary classification measures for multilabel...
getNestedTuneResultsOptPathDf: Get the 'opt.path's from each tuning step from the outer...
getNestedTuneResultsX: Get the tuned hyperparameter settings from a nested tuning.
getOOBPreds: Extracts out-of-bag predictions from trained models.
getOOBPredsLearner: Provides out-of-bag predictions for a given model and the...
getParamSet: Get a description of all possible parameter settings for a...
getPredictionDump: Return the error dump of a failed Prediction.
getPredictionProbabilities: Get probabilities for some classes.
getPredictionResponse: Get response / truth from prediction object.
getProbabilities: Deprecated, use 'getPredictionProbabilities' instead.
getRRDump: Return the error dump of ResampleResult.
getRRPredictionList: Get list of predictions for train and test set of each single...
getRRPredictions: Get predictions from resample results.
getRRTaskDesc: Get task description from resample results (DEPRECATED).
getRRTaskDescription: Get task description from resample results (DEPRECATED).
getStackedBaseLearnerPredictions: Returns the predictions for each base learner.
getTaskClassLevels: Get the class levels for classification and multilabel tasks.
getTaskCosts: Extract costs in task.
getTaskData: Extract data in task.
getTaskDesc: Get a summarizing task description.
getTaskDescription: Deprecated, use 'getTaskDesc' instead.
getTaskFeatureNames: Get feature names of task.
getTaskFormula: Get formula of a task.
getTaskId: Get the id of the task.
getTaskNFeats: Get number of features in task.
getTaskSize: Get number of observations in task.
getTaskTargetNames: Get the name(s) of the target column(s).
getTaskTargets: Get target data of task.
getTaskType: Get the type of the task.
getTuneResult: Returns the optimal hyperparameters and optimization path...
hasProperties: Deprecated, use 'hasLearnerProperties' instead.
imputations: Built-in imputation methods.
impute: Impute and re-impute data
iris.task: Iris classification task.
isFailureModel: Is the model a FailureModel?
joinClassLevels: Join some class existing levels to new, larger class levels...
learnerArgsToControl: Convert arguments to control structure.
LearnerProperties: Query properties of learners.
learners: List of supported learning algorithms.
listFilterMethods: List filter methods.
listLearnerProperties: List the supported learner properties
listLearners: Find matching learning algorithms.
listMeasureProperties: List the supported measure properties.
listMeasures: Find matching measures.
listTaskTypes: List the supported task types in mlr
lung.task: NCCTG Lung Cancer survival task.
makeAggregation: Specify your own aggregation of measures.
makeBaggingWrapper: Fuse learner with the bagging technique.
makeConstantClassWrapper: Wraps a classification learner to support problems where the...
makeCostMeasure: Creates a measure for non-standard misclassification costs.
makeCostSensClassifWrapper: Wraps a classification learner for use in cost-sensitive...
makeCostSensRegrWrapper: Wraps a regression learner for use in cost-sensitive...
makeCostSensWeightedPairsWrapper: Wraps a classifier for cost-sensitive learning to produce a...
makeCustomResampledMeasure: Construct your own resampled performance measure.
makeDownsampleWrapper: Fuse learner with simple downsampling (subsampling).
makeDummyFeaturesWrapper: Fuse learner with dummy feature creator.
makeFeatSelWrapper: Fuse learner with feature selection.
makeFilter: Create a feature filter.
makeFilterWrapper: Fuse learner with a feature filter method.
makeFixedHoldoutInstance: Generate a fixed holdout instance for resampling.
makeImputeMethod: Create a custom imputation method.
makeImputeWrapper: Fuse learner with an imputation method.
makeLearner: Create learner object.
makeLearners: Create multiple learners at once.
makeMeasure: Construct performance measure.
makeModelMultiplexer: Create model multiplexer for model selection to tune over...
makeModelMultiplexerParamSet: Creates a parameter set for model multiplexer tuning.
makeMulticlassWrapper: Fuse learner with multiclass method.
makeMultilabelBinaryRelevanceWrapper: Use binary relevance method to create a multilabel learner.
makeMultilabelClassifierChainsWrapper: Use classifier chains method (CC) to create a multilabel...
makeMultilabelDBRWrapper: Use dependent binary relevance method (DBR) to create a...
makeMultilabelNestedStackingWrapper: Use nested stacking method to create a multilabel learner.
makeMultilabelStackingWrapper: Use stacking method (stacked generalization) to create a...
makeOverBaggingWrapper: Fuse learner with the bagging technique and oversampling for...
makePreprocWrapper: Fuse learner with preprocessing.
makePreprocWrapperCaret: Fuse learner with preprocessing.
makeRemoveConstantFeaturesWrapper: Fuse learner with removal of constant features preprocessing.
makeResampleDesc: Create a description object for a resampling strategy.
makeResampleInstance: Instantiates a resampling strategy object.
makeSMOTEWrapper: Fuse learner with SMOTE oversampling for imbalancy correction...
makeStackedLearner: Create a stacked learner object.
makeTuneControlCMAES: Create control object for hyperparameter tuning with CMAES.
makeTuneControlDesign: Create control object for hyperparameter tuning with...
makeTuneControlGenSA: Create control object for hyperparameter tuning with GenSA.
makeTuneControlGrid: Create control object for hyperparameter tuning with grid...
makeTuneControlIrace: Create control object for hyperparameter tuning with Irace.
makeTuneControlMBO: Create control object for hyperparameter tuning with MBO.
makeTuneControlRandom: Create control object for hyperparameter tuning with random...
makeTuneWrapper: Fuse learner with tuning.
makeUndersampleWrapper: Fuse learner with simple ove/underrsampling for imbalancy...
makeWeightedClassesWrapper: Wraps a classifier for weighted fitting where each class...
makeWrappedModel: Induced model of learner.
MeasureProperties: Query properties of measures.
measures: Performance measures.
mergeBenchmarkResults: Merge different BenchmarkResult objects.
mergeSmallFactorLevels: Merges small levels of factors into new level.
mlrFamilies: mlr documentation families
mtcars.task: Motor Trend Car Road Tests clustering task.
normalizeFeatures: Normalize features.
oversample: Over- or undersample binary classification task to handle...
parallelization: Supported parallelization methods
performance: Measure performance of prediction.
pid.task: PimaIndiansDiabetes classification task.
plotBMRBoxplots: Create box or violin plots for a BenchmarkResult.
plotBMRRanksAsBarChart: Create a bar chart for ranks in a BenchmarkResult.
plotBMRSummary: Plot a benchmark summary.
plotCalibration: Plot calibration data using ggplot2.
plotCritDifferences: Plot critical differences for a selected measure.
plotFilterValues: Plot filter values using ggplot2.
plotFilterValuesGGVIS: Plot filter values using ggvis.
plotHyperParsEffect: Plot the hyperparameter effects data
plotLearnerPrediction: Visualizes a learning algorithm on a 1D or 2D data set.
plotLearningCurve: Plot learning curve data using ggplot2.
plotLearningCurveGGVIS: Plot learning curve data using ggvis.
plotPartialDependence: Plot a partial dependence with ggplot2.
plotPartialDependenceGGVIS: Plot a partial dependence using ggvis.
plotResiduals: Create residual plots for prediction objects or benchmark...
plotROCCurves: Plots a ROC curve using ggplot2.
plotThreshVsPerf: Plot threshold vs. performance(s) for 2-class classification...
plotThreshVsPerfGGVIS: Plot threshold vs. performance(s) for 2-class classification...
plotTuneMultiCritResult: Plots multi-criteria results after tuning using ggplot2.
plotTuneMultiCritResultGGVIS: Plots multi-criteria results after tuning using ggvis.
plotViperCharts: Visualize binary classification predictions via ViperCharts...
Prediction: Prediction object.
predictLearner: Predict new data with an R learner.
predict.WrappedModel: Predict new data.
reduceBatchmarkResults: Reduce results of a batch-distributed benchmark.
regr.featureless: Featureless regression learner.
regr.randomForest: RandomForest regression learner.
reimpute: Re-impute a data set
removeConstantFeatures: Remove constant features from a data set.
removeHyperPars: Remove hyperparameters settings of a learner.
resample: Fit models according to a resampling strategy.
ResamplePrediction: Prediction from resampling.
ResampleResult: ResampleResult object.
RLearner: Internal construction / wrapping of learner object.
selectFeatures: Feature selection by wrapper approach.
setAggregation: Set aggregation function of measure.
setHyperPars: Set the hyperparameters of a learner object.
setHyperPars2: Only exported for internal use.
setId: Set the id of a learner object.
setLearnerId: Set the ID of a learner object.
setPredictThreshold: Set the probability threshold the learner should use.
setPredictType: Set the type of predictions the learner should return.
setThreshold: Set threshold of prediction object.
simplifyMeasureNames: Simplify measure names.
smote: Synthetic Minority Oversampling Technique to handle class...
sonar.task: Sonar classification task.
subsetTask: Subset data in task.
summarizeColumns: Summarize columns of data.frame or task.
summarizeLevels: Summarizes factors of a data.frame by tabling them.
Task: Create a classification, regression, survival, cluster,...
TaskDesc: Description object for task.
train: Train a learning algorithm.
trainLearner: Train an R learner.
TuneControl: Control object for tuning
TuneMultiCritControl: Create control structures for multi-criteria tuning.
TuneMultiCritResult: Result of multi-criteria tuning.
tuneParams: Hyperparameter tuning.
tuneParamsMultiCrit: Hyperparameter tuning for multiple measures at once.
TuneResult: Result of tuning.
tuneThreshold: Tune prediction threshold.
wpbc.task: Wisonsin Prognostic Breast Cancer (WPBC) survival task.
yeast.task: Yeast multilabel classification task.

Functions

Aggregation Man page
BenchmarkResult Man page
CalibrationData Man page
ClassifTask Man page
ClusterTask Man page
ConfusionMatrix Man page
CostSensClassifModel Man page
CostSensClassifWrapper Man page
CostSensRegrModel Man page
CostSensRegrWrapper Man page
CostSensTask Man page
CostSensWeightedPairsModel Man page
CostSensWeightedPairsWrapper Man page
FailureModel Man page
FeatSelControl Man page
FeatSelControlExhaustive Man page
FeatSelControlGA Man page
FeatSelControlRandom Man page
FeatSelControlSequential Man page
FeatSelResult Man page
FeatureImportanceData Man page
FilterValues Man page
FunctionalANOVAData Man page
G1 Man page
G2 Man page
Learner Man page
LearnerProperties Man page
LearningCurveData Man page
Measure Man page
MeasureProperties Man page
ModelMultiplexer Man page
MultilabelTask Man page
PartialDependenceData Man page
Prediction Man page
RLearner Man page
RLearnerClassif Man page
RLearnerCluster Man page
RLearnerMultilabel Man page
RLearnerRegr Man page
RLearnerSurv Man page
RegrTask Man page
ResampleDesc Man page
ResampleInstance Man page
ResamplePrediction Man page
ResampleResult Man page
SurvTask Man page
Task Man page
TaskDesc Man page
ThreshVsPerfData Man page
TuneControl Man page
TuneControlCMAES Man page
TuneControlDesign Man page
TuneControlGenSA Man page
TuneControlGrid Man page
TuneControlIrace Man page
TuneControlMBO Man page
TuneControlRandom Man page
TuneMultiCritControl Man page
TuneMultiCritControlGrid Man page
TuneMultiCritControlNSGA2 Man page
TuneMultiCritControlRandom Man page
TuneMultiCritResult Man page
TuneResult Man page
WrappedModel Man page
acc Man page
addRRMeasure Man page Source code
aggregations Man page
agri.task Man page
analyzeFeatSelResult Man page Source code
arsq Man page
as.data.frame.BenchmarkResult Source code
as.data.frame.Prediction Source code
asROCRPrediction Man page Source code
asROCRPrediction.Prediction Source code
asROCRPrediction.ResamplePrediction Source code
asROCRPredictionIntern Source code
attachTrainingInfo Source code
auc Man page
averageBaseLearners Source code
b632 Man page
b632plus Man page
bac Man page
batchmark Man page Source code
bc.task Man page
benchmark Man page Source code
benchmarkParallel Source code
ber Man page
bh.task Man page
binaryToFeatures Source code
bootstrapB632 Man page Source code
bootstrapB632plus Man page Source code
bootstrapOOB Man page Source code
bootstrapStandardError Source code
brier Man page
brier.scaled Man page
buildCMatrix Source code
calculateConfusionMatrix Man page Source code
calculateROCMeasures Man page Source code
calculateResampleIterationResult Source code
capLargeValues Man page Source code
capLargeValues.Task Source code
capLargeValues.data.frame Source code
changeData Source code
checkAggrBeforeResample Source code
checkAggrsBeforeResample Source code
checkBMRMeasure Source code
checkDuplicatedLearnerNames Source code
checkFilterArguments Source code
checkLearner Source code
checkLearnerBeforeTrain Source code
checkMeasures Source code
checkModelCorrespondsTask Source code
checkPredictLearnerOutput Source code
checkPrediction Source code
checkTargetPreproc Source code
checkTask Source code
checkTaskData Source code
checkTaskSubset Source code
checkTunerParset Source code
cindex Man page
classif.featureless Man page
cleanupPackageNames Source code
cm.onevsone Source code
cm.onevsrest Source code
colAUC Source code
compare.diff Source code
compressBaseLearners Source code
configureMlr Man page Source code
convertBMRToRankMatrix Man page Source code
convertMLBenchObjToTask Man page Source code
convertStartToNumeric Source code
convertXIdentity Source code
convertXNumeric Source code
convertXVectorizedBooleanStringsToLogical Source code
convertXVectorizedMatrixCols Source code
convertYForTuner Source code
costiris.task Man page
createDummyFeatures Man page Source code
createDummyFeatures.Task Source code
createDummyFeatures.character Source code
createDummyFeatures.data.frame Source code
createDummyFeatures.factor Source code
createStates Source code
crossover Man page Source code
crossval Man page Source code
cv10 Man page
cv2 Man page
cv3 Man page
cv5 Man page
db Man page
doAggregatePartialDependence Source code
doBaggingTrainIteration Source code
doCostSensRegrTrainIteration Source code
doIndividualPartialDependence Source code
doMulticlassTrainIteration Source code
doMultilabelBinaryRelevanceTrainIteration Source code
doOverBaggingTrainIteration Source code
doPartialDependenceIteration Source code
doPartialDerivativeIteration Source code
doPerformanceIteration Source code
doPermutationImportance Source code
doResampleIteration Source code
downsample Man page Source code
downsample.ResampleInstance Source code
downsample.Task Source code
dropFeatures Man page Source code
dunn Man page
ensureBenchmarkLearners Source code
ensureBenchmarkMeasures Source code
ensureBenchmarkResamplings Source code
ensureBenchmarkTasks Source code
estimateRelativeOverfitting Man page Source code
estimateRelativeOverfitting.ResampleDesc Man page Source code
estimateResidualVariance Man page Source code
estimateResidualVariance.Learner Source code
estimateResidualVariance.WrappedModel Source code
evalOptimizationState Source code
evalOptimizationStates Source code
evalOptimizationStatesFeatSel Source code
evalOptimizationStatesTune Source code
exportMlrOptions Source code
expvar Man page
f1 Man page
fdr Man page
featperc Man page
featuresToBinary Source code
featuresToLogical Source code
filterFeatures Man page Source code
filterLearnerTable Source code
fixDataForLearner Source code
fn Man page
fnr Man page
fp Man page
fpr Man page
friedmanPostHocTestBMR Man page Source code
friedmanTestBMR Man page Source code
fun Source code Source code Source code
generateCalibrationData Man page Source code
generateCalibrationData.BenchmarkResult Source code
generateCalibrationData.Prediction Source code
generateCalibrationData.ResampleResult Source code
generateCalibrationData.list Source code
generateCritDifferencesData Man page Source code
generateFeatureGrid Source code
generateFeatureImportanceData Man page Source code
generateFilterValuesData Man page Source code
generateFunctionalANOVAData Man page Source code
generateHyperParsEffectData Man page Source code
generateKid Source code
generateLearningCurveData Man page Source code
generatePartialDependenceData Man page Source code
generateThreshVsPerfData Man page Source code
generateThreshVsPerfData.BenchmarkResult Source code
generateThreshVsPerfData.Prediction Source code
generateThreshVsPerfData.ResampleResult Source code
generateThreshVsPerfData.list Source code
getAlgoFun Source code
getBMRAggrPerformances Man page Source code
getBMRFeatSelResults Man page Source code
getBMRFilteredFeatures Man page Source code
getBMRLearnerIds Man page Source code
getBMRLearnerShortNames Man page Source code
getBMRLearners Man page Source code
getBMRMeasureIds Man page Source code
getBMRMeasures Man page Source code
getBMRModels Man page Source code
getBMRObjects Source code
getBMROptResults Source code
getBMRPerformances Man page Source code
getBMRPredictions Man page Source code
getBMRTaskDescriptions Man page Source code
getBMRTaskDescs Man page Source code
getBMRTaskIds Man page Source code
getBMRTuneResults Man page Source code
getCaretParamSet Man page Source code
getClassWeightParam Man page Source code
getColEls Source code
getConfMatrix Man page Source code
getDefaultMeasure Man page Source code
getExtractor Source code
getFailureModelDump Man page Source code
getFailureModelDump.BaseWrapperModel Source code
getFailureModelDump.FailureModel Source code
getFailureModelDump.HomogeneousEnsembleModel Source code
getFailureModelDump.WrappedModel Source code
getFailureModelMsg Man page Source code
getFailureModelMsg.BaseWrapperModel Source code
getFailureModelMsg.FailureModel Source code
getFailureModelMsg.HomogeneousEnsembleModel Source code
getFailureModelMsg.WrappedModel Source code
getFeatSelResult Man page Source code
getFeatureImportance Man page Source code
getFeatureImportanceLearner Man page Source code
getFeatureImportanceLearner.classif.RRF Source code
getFeatureImportanceLearner.classif.boosting Source code
getFeatureImportanceLearner.classif.cforest Source code
getFeatureImportanceLearner.classif.gbm Source code
getFeatureImportanceLearner.classif.randomForest Source code
getFeatureImportanceLearner.classif.randomForestSRC Source code
getFeatureImportanceLearner.classif.ranger Source code
getFeatureImportanceLearner.classif.rpart Source code
getFeatureImportanceLearner.classif.xgboost Source code
getFeatureImportanceLearner.regr.RRF Source code
getFeatureImportanceLearner.regr.cforest Source code
getFeatureImportanceLearner.regr.gbm Source code
getFeatureImportanceLearner.regr.randomForest Source code
getFeatureImportanceLearner.regr.randomForestSRC Man page Source code
getFeatureImportanceLearner.regr.ranger Source code
getFeatureImportanceLearner.regr.rpart Source code
getFeatureImportanceLearner.regr.xgboost Source code
getFeatureImportanceLearner.surv.cforest Source code
getFeatureImportanceLearner.surv.gbm Source code
getFeatureImportanceLearner.surv.randomForestSRC Source code
getFeatureImportanceLearner.surv.ranger Source code
getFeatureImportanceLearner.surv.rpart Source code
getFilterValues Man page Source code
getFilteredFeatures Man page Source code
getFilteredFeatures.FilterModel Source code
getFilteredFeatures.default Source code
getFixDataInfo Source code
getHomogeneousEnsembleModels Man page Source code
getHyperPars Man page Source code
getHyperPars.BaseEnsemble Source code
getHyperPars.BaseWrapper Source code
getHyperPars.Learner Source code
getHyperParsString Source code
getLeafLearner Source code
getLeafModel Source code
getLearnerId Man page Source code
getLearnerModel Man page Source code
getLearnerModel.BaseWrapperModel Source code
getLearnerModel.HomogeneousEnsembleModel Source code
getLearnerModel.ModelMultiplexerModel Source code
getLearnerModel.WrappedModel Source code
getLearnerOptions Source code
getLearnerPackages Man page Source code
getLearnerParVals Man page Source code
getLearnerParamSet Man page Source code
getLearnerPredictType Man page Source code
getLearnerProperties Man page Man page Source code
getLearnerProperties.BaggingWrapper Source code
getLearnerProperties.BaseWrapper Source code
getLearnerProperties.CostSensClassifWrapper Source code
getLearnerProperties.CostSensRegrWrapper Source code
getLearnerProperties.CostSensWeightedPairsWrapper Source code
getLearnerProperties.DummyFeaturesWrapper Source code
getLearnerProperties.ImputeWrapper Source code
getLearnerProperties.Learner Source code
getLearnerProperties.ModelMultiplexer Source code
getLearnerProperties.MulticlassWrapper Source code
getLearnerProperties.OverBaggingWrapper Source code
getLearnerProperties.PreprocWrapperCaret Source code
getLearnerProperties.WeightedClassesWrapper Source code
getLearnerProperties.character Source code
getLearnerShortName Man page Source code
getLearnerTable Source code
getLearnerType Man page Source code
getMeasureProperties Man page Man page Source code
getMinMaxClass Source code
getMlrOption Source code
getMlrOptions Man page Source code
getMultilabelBinaryPerformances Man page Source code
getNameProposals Source code
getNestedTuneResultsOptPathDf Man page Source code
getNestedTuneResultsX Man page Source code
getOOBPreds Man page Source code
getOOBPredsLearner Man page Source code
getOOBPredsLearner.classif.rFerns Source code
getOOBPredsLearner.classif.randomForest Source code
getOOBPredsLearner.classif.randomForestSRC Source code
getOOBPredsLearner.classif.ranger Source code
getOOBPredsLearner.regr.randomForest Source code
getOOBPredsLearner.regr.randomForestSRC Source code
getOOBPredsLearner.regr.ranger Source code
getOOBPredsLearner.surv.randomForestSRC Source code
getParamSet Man page
getParamSet.BaseWrapper Source code
getParamSet.Learner Source code
getParamSet.character Source code
getPredictionDump Man page Source code
getPredictionProbabilities Man page Source code
getPredictionResponse Man page Source code
getPredictionResponse.PredictionMultilabel Source code
getPredictionResponse.default Source code
getPredictionSE Man page Source code
getPredictionSE.default Source code
getPredictionTruth Man page Source code
getPredictionTruth.PredictionCluster Source code
getPredictionTruth.PredictionMultilabel Source code
getPredictionTruth.PredictionSurv Source code
getPredictionTruth.default Source code
getProbabilities Man page Source code
getPseudoData Source code
getRRDump Man page Source code
getRRPredictionList Man page Source code
getRRPredictions Man page Source code
getRRTaskDesc Man page Source code
getRRTaskDescription Man page Source code
getResampleExtract Source code
getResampleExtract2 Source code
getResampleExtract2.BaseWrapper Source code
getResampleExtract2.FeatSelWrapper Source code
getResampleExtract2.FilterWrapper Source code
getResampleExtract2.Learner Source code
getResampleExtract2.TuneWrapper Source code
getResampleExtract2.default Source code
getResponse Source code
getRowEls Source code
getStackedBaseLearnerPredictions Man page Source code
getTaskClassLevels Man page Source code
getTaskClassLevels.ClassifTaskDesc Source code
getTaskClassLevels.MultilabelTaskDesc Source code
getTaskClassLevels.Task Source code
getTaskConstructorForLearner Source code
getTaskCosts Man page Source code
getTaskData Man page Source code
getTaskDesc Man page Source code
getTaskDesc.TaskDesc Source code
getTaskDesc.default Source code
getTaskDescription Man page Source code
getTaskFactorLevels Source code
getTaskFeatureNames Man page Source code
getTaskFormula Man page Source code
getTaskId Man page Source code
getTaskNFeats Man page Source code
getTaskSize Man page Source code
getTaskTargetNames Man page Source code
getTaskTargetNames.SupervisedTaskDesc Source code
getTaskTargetNames.Task Source code
getTaskTargetNames.UnsupervisedTaskDesc Source code
getTaskTargets Man page Source code
getTaskTargets.CostSensTask Source code
getTaskTargets.SupervisedTask Source code
getTaskTargets.UnsupervisedTask Source code
getTaskType Man page Source code
getTaskWeights Source code
getThresholdFromOptPath Source code
getTrainingInfo Source code
getTuneResult Man page Source code
getTuneThresholdExtra Source code
gmean Man page
gpr Man page
groupNamedListByNames Source code
hasEmptyLevels Source code
hasLearnerProperties Man page Man page Source code
hasMeasureProperties Man page Man page Source code
hasProperties Man page Source code
hillclimbBaseLearners Source code
holdout Man page Source code
hout Man page
imputations Man page
impute Man page Source code
impute.Task Source code
impute.data.frame Source code
imputeConstant Man page Source code
imputeHist Man page Source code
imputeLearner Man page Source code
imputeMax Man page Source code
imputeMean Man page Source code
imputeMedian Man page Source code
imputeMin Man page Source code
imputeMode Man page Source code
imputeNormal Man page Source code
imputeUniform Man page Source code
instantiateResampleInstance Source code
instantiateResampleInstance.BootstrapDesc Source code
instantiateResampleInstance.CVDesc Source code
instantiateResampleInstance.HoldoutDesc Source code
instantiateResampleInstance.LOODesc Source code
instantiateResampleInstance.RepCVDesc Source code
instantiateResampleInstance.SubsampleDesc Source code
iris.task Man page
isFailureModel Man page Source code
isFailureModel.BaseWrapperModel Source code
isFailureModel.FailureModel Source code
isFailureModel.HomogeneousEnsembleModel Source code
isFailureModel.ModelMultiplexerModel Source code
isFailureModel.WrappedModel Source code
jackknifeStandardError Source code
joinClassLevels Man page Source code
joinClassLevels.ClassifTask Source code
kappa Man page
kendalltau Man page
learnerArgsToControl Man page Source code
learners Man page
listFilterMethods Man page Source code
listLearnerProperties Man page Source code
listLearners Man page Source code
listLearners.Task Man page Source code
listLearners.character Man page Source code
listLearners.default Man page Source code
listMeasureProperties Man page Source code
listMeasures Man page Source code
listMeasures.Task Man page Source code
listMeasures.character Man page Source code
listMeasures.default Man page Source code
listMeasures2 Source code
listTaskTypes Man page Source code
logFunDefault Source code
logFunFeatSel Source code
logFunFeatSelMemory Source code
logFunMemory Source code
logFunTune Source code
logFunTuneMemory Source code
logicalToFeatures Source code
logloss Man page
lsr Man page
lung.task Man page
mae Man page
makeAggregation Man page Source code
makeBaggingWrapper Man page Source code
makeBaseEnsemble Source code
makeBaseWrapper Source code
makeChainModel Source code
makeClassifTask Man page Source code
makeClassifTaskDesc Source code
makeClusterTask Man page Source code
makeClusterTaskDesc Source code
makeConstantClassWrapper Man page Source code
makeCostMeasure Man page Source code
makeCostSensClassifWrapper Man page Source code
makeCostSensRegrWrapper Man page Source code
makeCostSensTask Man page Source code
makeCostSensTaskDesc Source code
makeCostSensWeightedPairsWrapper Man page Source code
makeCustomResampledMeasure Man page Source code
makeDownsampleWrapper Man page Source code
makeDummyFeaturesWrapper Man page Source code
makeFeatSelControl Source code
makeFeatSelControlExhaustive Man page Source code
makeFeatSelControlGA Man page Source code
makeFeatSelControlRandom Man page Source code
makeFeatSelControlSequential Man page Source code
makeFeatSelResult Source code
makeFeatSelResultFromOptPath Source code
makeFeatSelWrapper Man page Source code
makeFilter Man page Man page Man page Man page Man page Man page Man page Man page Man page Man page Man page Man page Man page Man page Man page Man page Man page Man page Man page Man page Source code
makeFilterWrapper Man page Source code
makeFixedHoldoutInstance Man page Source code
makeHomChainModel Source code
makeHomogeneousEnsemble Source code
makeImputeMethod Man page Source code
makeImputeWrapper Man page Source code
makeLearner Man page Source code
makeLearnerBaseConstructor Source code
makeLearners Man page Source code
makeMeasure Man page Source code
makeModelMultiplexer Man page Source code
makeModelMultiplexerParamSet Man page Source code
makeMulticlassWrapper Man page Source code
makeMultilabelBinaryRelevanceWrapper Man page Source code
makeMultilabelClassifierChainsWrapper Man page Source code
makeMultilabelDBRWrapper Man page Source code
makeMultilabelNestedStackingWrapper Man page Source code
makeMultilabelStackingWrapper Man page Source code
makeMultilabelTask Man page Source code
makeMultilabelTaskDesc Source code
makeNoFeaturesModel Source code
makeOptControl Source code
makeOptPathDFFromMeasures Source code
makeOptResult Source code
makeOptWrapper Source code
makeOverBaggingWrapper Man page Source code
makeOversampleWrapper Man page Source code
makePrediction Man page Source code
makePrediction.ClassifTaskDesc Source code
makePrediction.ClusterTaskDesc Source code
makePrediction.CostSensTaskDesc Source code
makePrediction.MultilabelTaskDesc Source code
makePrediction.RegrTaskDesc Source code
makePrediction.SurvTaskDesc Source code
makePreprocWrapper Man page Source code
makePreprocWrapperCaret Man page Source code
makeRLearner Man page Source code
makeRLearner.classif.C50 Source code
makeRLearner.classif.IBk Source code
makeRLearner.classif.J48 Source code
makeRLearner.classif.JRip Source code
makeRLearner.classif.LiblineaRL1L2SVC Source code
makeRLearner.classif.LiblineaRL1LogReg Source code
makeRLearner.classif.LiblineaRL2L1SVC Source code
makeRLearner.classif.LiblineaRL2LogReg Source code
makeRLearner.classif.LiblineaRL2SVC Source code
makeRLearner.classif.LiblineaRMultiClassSVC Source code
makeRLearner.classif.OneR Source code
makeRLearner.classif.PART Source code
makeRLearner.classif.RRF Source code
makeRLearner.classif.ada Source code
makeRLearner.classif.bartMachine Source code
makeRLearner.classif.bdk Source code
makeRLearner.classif.binomial Source code
makeRLearner.classif.blackboost Source code
makeRLearner.classif.boosting Source code
makeRLearner.classif.bst Source code
makeRLearner.classif.cforest Source code
makeRLearner.classif.clusterSVM Source code
makeRLearner.classif.ctree Source code
makeRLearner.classif.cvglmnet Source code
makeRLearner.classif.dbnDNN Source code
makeRLearner.classif.dcSVM Source code
makeRLearner.classif.earth Source code
makeRLearner.classif.evtree Source code
makeRLearner.classif.extraTrees Source code
makeRLearner.classif.featureless Source code
makeRLearner.classif.fnn Source code
makeRLearner.classif.gamboost Source code
makeRLearner.classif.gaterSVM Source code
makeRLearner.classif.gausspr Source code
makeRLearner.classif.gbm Source code
makeRLearner.classif.geoDA Source code
makeRLearner.classif.glmboost Source code
makeRLearner.classif.glmnet Source code
makeRLearner.classif.h2o.deeplearning Source code
makeRLearner.classif.h2o.gbm Source code
makeRLearner.classif.h2o.glm Source code
makeRLearner.classif.h2o.randomForest Source code
makeRLearner.classif.hdrda Source code
makeRLearner.classif.kknn Source code
makeRLearner.classif.knn Source code
makeRLearner.classif.ksvm Source code
makeRLearner.classif.lda Source code
makeRLearner.classif.linDA Source code
makeRLearner.classif.logreg Source code
makeRLearner.classif.lqa Source code
makeRLearner.classif.lssvm Source code
makeRLearner.classif.lvq1 Source code
makeRLearner.classif.mda Source code
makeRLearner.classif.mlp Source code
makeRLearner.classif.multinom Source code
makeRLearner.classif.naiveBayes Source code
makeRLearner.classif.neuralnet Source code
makeRLearner.classif.nnTrain Source code
makeRLearner.classif.nnet Source code
makeRLearner.classif.nodeHarvest Source code
makeRLearner.classif.pamr Source code
makeRLearner.classif.penalized.fusedlasso Source code
makeRLearner.classif.penalized.lasso Source code
makeRLearner.classif.penalized.ridge Source code
makeRLearner.classif.plr Source code
makeRLearner.classif.plsdaCaret Source code
makeRLearner.classif.probit Source code
makeRLearner.classif.qda Source code
makeRLearner.classif.quaDA Source code
makeRLearner.classif.rFerns Source code
makeRLearner.classif.randomForest Source code
makeRLearner.classif.randomForestSRC Source code
makeRLearner.classif.ranger Source code
makeRLearner.classif.rda Source code
makeRLearner.classif.rknn Source code
makeRLearner.classif.rotationForest Source code
makeRLearner.classif.rpart Source code
makeRLearner.classif.rrlda Source code
makeRLearner.classif.saeDNN Source code
makeRLearner.classif.sda Source code
makeRLearner.classif.sparseLDA Source code
makeRLearner.classif.svm Source code
makeRLearner.classif.xgboost Source code
makeRLearner.classif.xyf Source code
makeRLearner.cluster.Cobweb Source code
makeRLearner.cluster.EM Source code
makeRLearner.cluster.FarthestFirst Source code
makeRLearner.cluster.SimpleKMeans Source code
makeRLearner.cluster.XMeans Source code
makeRLearner.cluster.cmeans Source code
makeRLearner.cluster.dbscan Source code
makeRLearner.cluster.kkmeans Source code
makeRLearner.cluster.kmeans Source code
makeRLearner.multilabel.cforest Source code
makeRLearner.multilabel.rFerns Source code
makeRLearner.multilabel.randomForestSRC Source code
makeRLearner.regr.GPfit Source code
makeRLearner.regr.IBk Source code
makeRLearner.regr.LiblineaRL2L1SVR Source code
makeRLearner.regr.LiblineaRL2L2SVR Source code
makeRLearner.regr.RRF Source code
makeRLearner.regr.bartMachine Source code
makeRLearner.regr.bcart Source code
makeRLearner.regr.bdk Source code
makeRLearner.regr.bgp Source code
makeRLearner.regr.bgpllm Source code
makeRLearner.regr.blackboost Source code
makeRLearner.regr.blm Source code
makeRLearner.regr.brnn Source code
makeRLearner.regr.bst Source code
makeRLearner.regr.btgp Source code
makeRLearner.regr.btgpllm Source code
makeRLearner.regr.btlm Source code
makeRLearner.regr.cforest Source code
makeRLearner.regr.crs Source code
makeRLearner.regr.ctree Source code
makeRLearner.regr.cubist Source code
makeRLearner.regr.cvglmnet Source code
makeRLearner.regr.earth Source code
makeRLearner.regr.elmNN Source code
makeRLearner.regr.evtree Source code
makeRLearner.regr.extraTrees Source code
makeRLearner.regr.featureless Source code
makeRLearner.regr.fnn Source code
makeRLearner.regr.frbs Source code
makeRLearner.regr.gamboost Source code
makeRLearner.regr.gausspr Source code
makeRLearner.regr.gbm Source code
makeRLearner.regr.glm Source code
makeRLearner.regr.glmboost Source code
makeRLearner.regr.glmnet Source code
makeRLearner.regr.h2o.deeplearning Source code
makeRLearner.regr.h2o.gbm Source code
makeRLearner.regr.h2o.glm Source code
makeRLearner.regr.h2o.randomForest Source code
makeRLearner.regr.kknn Source code
makeRLearner.regr.km Source code
makeRLearner.regr.ksvm Source code
makeRLearner.regr.laGP Source code
makeRLearner.regr.lm Source code
makeRLearner.regr.mars Source code
makeRLearner.regr.mob Source code
makeRLearner.regr.nnet Source code
makeRLearner.regr.nodeHarvest Source code
makeRLearner.regr.pcr Source code
makeRLearner.regr.penalized.fusedlasso Source code
makeRLearner.regr.penalized.lasso Source code
makeRLearner.regr.penalized.ridge Source code
makeRLearner.regr.plsr Source code
makeRLearner.regr.randomForest Source code
makeRLearner.regr.randomForestSRC Source code
makeRLearner.regr.ranger Source code
makeRLearner.regr.rknn Source code
makeRLearner.regr.rpart Source code
makeRLearner.regr.rsm Source code
makeRLearner.regr.rvm Source code
makeRLearner.regr.slim Source code
makeRLearner.regr.svm Source code
makeRLearner.regr.xgboost Source code
makeRLearner.regr.xyf Source code
makeRLearner.surv.CoxBoost Source code
makeRLearner.surv.cforest Source code
makeRLearner.surv.coxph Source code
makeRLearner.surv.cv.CoxBoost Source code
makeRLearner.surv.cvglmnet Source code
makeRLearner.surv.gamboost Source code
makeRLearner.surv.gbm Source code
makeRLearner.surv.glmboost Source code
makeRLearner.surv.glmnet Source code
makeRLearner.surv.penalized.fusedlasso Source code
makeRLearner.surv.penalized.lasso Source code
makeRLearner.surv.penalized.ridge Source code
makeRLearner.surv.randomForestSRC Source code
makeRLearner.surv.ranger Source code
makeRLearner.surv.rpart Source code
makeRLearnerClassif Man page Source code
makeRLearnerCluster Man page Source code
makeRLearnerCostSens Man page Source code
makeRLearnerInternal Source code
makeRLearnerMultilabel Man page Source code
makeRLearnerRegr Man page Source code
makeRLearnerSurv Man page Source code
makeRegrTask Man page Source code
makeRegrTaskDesc Source code
makeRemoveConstantFeaturesWrapper Man page Source code
makeResampleDesc Man page Source code
makeResampleDescBootstrap Source code
makeResampleDescCV Source code
makeResampleDescHoldout Source code
makeResampleDescInternal Source code
makeResampleDescLOO Source code
makeResampleDescRepCV Source code
makeResampleDescSubsample Source code
makeResampleInstance Man page Source code
makeResampleInstanceInternal Source code
makeResamplePrediction Source code
makeResidualPlot Source code
makeSMOTEWrapper Man page Source code
makeStackedLearner Man page Source code
makeSuperLearnerTask Source code
makeSupervisedTask Source code
makeSurvTask Man page Source code
makeSurvTaskDesc Source code
makeTask Source code
makeTaskDesc Source code
makeTaskDescInternal Source code
makeTuneControl Source code
makeTuneControlCMAES Man page Source code
makeTuneControlDesign Man page Source code
makeTuneControlGenSA Man page Source code
makeTuneControlGrid Man page Source code
makeTuneControlIrace Man page Source code
makeTuneControlMBO Man page Source code
makeTuneControlRandom Man page Source code
makeTuneMultiCritControl Source code
makeTuneMultiCritControlGrid Man page Source code
makeTuneMultiCritControlNSGA2 Man page Source code
makeTuneMultiCritControlRandom Man page Source code
makeTuneMultiCritResult Source code
makeTuneMultiCritResultFromOptPath Source code
makeTuneResult Source code
makeTuneResultFromOptPath Source code
makeTuneWrapper Man page Source code
makeUndersampleWrapper Man page Source code
makeUnsupervisedTask Source code
makeWeightedClassesWrapper Man page Source code
makeWrappedModel Man page Source code
makeWrappedModel.BaseEnsemble Source code
makeWrappedModel.BaseWrapper Source code
makeWrappedModel.Learner Source code
makeWrappedModel.ModelMultiplexer Source code
makeWrappedModel.TuneWrapper Source code
mape Man page
matchBaseEnsembleLearner Source code
mcc Man page
mcp Man page
meancosts Man page
measureACC Man page Source code
measureAU1P Man page Source code
measureAU1U Man page Source code
measureAUC Man page Source code
measureAUNP Man page Source code
measureAUNU Man page Source code
measureAggrName Source code
measureAggrPrettyName Source code
measureBAC Man page Source code
measureBrier Man page Source code
measureBrierScaled Man page Source code
measureEXPVAR Man page Source code
measureEdgeCase Source code
measureF1 Source code
measureFDR Man page Source code
measureFN Man page Source code
measureFNR Man page Source code
measureFP Man page Source code
measureFPR Man page Source code
measureGMEAN Man page Source code
measureGPR Man page Source code
measureKAPPA Man page Source code
measureKendallTau Man page Source code
measureLSR Man page Source code
measureLogloss Man page Source code
measureMAE Man page Source code
measureMAPE Man page Source code
measureMCC Man page Source code
measureMEDAE Man page Source code
measureMEDSE Man page Source code
measureMMCE Man page Source code
measureMSE Man page Source code
measureMSLE Man page Source code
measureMultiLabelF1 Man page Source code
measureMulticlassBrier Man page Source code
measureMultilabelACC Man page Source code
measureMultilabelHamloss Man page Source code
measureMultilabelPPV Man page Source code
measureMultilabelSubset01 Man page Source code
measureMultilabelTPR Man page Source code
measureNPV Man page Source code
measurePPV Man page Source code
measureQSR Man page Source code
measureRAE Man page Source code
measureRMSE Man page Source code
measureRRSE Man page Source code
measureRSQ Man page Source code
measureSAE Man page Source code
measureSSE Man page Source code
measureSSR Man page Source code
measureSpearmanRho Man page Source code
measureTN Man page Source code
measureTNR Man page Source code
measureTP Man page Source code
measureTPR Man page Source code
measureTime Source code
measureWKAPPA Man page Source code
measures Man page
medae Man page
medse Man page
mergeBenchmarkResults Man page Source code
mergeResampleResult Source code
mergeSmallFactorLevels Man page Source code
mlrFamilies Man page
mmce Man page
mse Man page
msle Man page
mtcars.task Man page
multi.to.binary Source code
multiclass.au1p Man page
multiclass.au1u Man page
multiclass.aunp Man page
multiclass.aunu Man page
multiclass.brier Man page
multilabel.acc Man page
multilabel.f1 Man page
multilabel.hamloss Man page
multilabel.ppv Man page
multilabel.subset01 Man page
multilabel.tpr Man page
mutateBits Source code
normalizeFeatures Man page Source code
normalizeFeatures.Task Source code
normalizeFeatures.data.frame Source code
npv Man page
onAttach Source code
orderBMRLrns Source code
orderBMRTasks Source code
oversample Man page Source code
parallelization Man page
peelList Source code
performance Man page Source code
perfsToString Source code
pid.task Man page
plotBMRBoxplots Man page Source code
plotBMRRanksAsBarChart Man page Source code
plotBMRSummary Man page Source code
plotCalibration Man page Source code
plotCritDifferences Man page Source code
plotFilterValues Man page Source code
plotFilterValuesGGVIS Man page Source code
plotHyperParsEffect Man page Source code
plotLearnerPrediction Man page Source code
plotLearningCurve Man page Source code
plotLearningCurveGGVIS Man page Source code
plotPartialDependence Man page Source code
plotPartialDependenceGGVIS Man page Source code
plotROCCurves Man page Source code
plotResiduals Man page Source code
plotResiduals.BenchmarkResult Source code
plotResiduals.Prediction Source code
plotThreshVsPerf Man page Source code
plotThreshVsPerfGGVIS Man page Source code
plotTuneMultiCritResult Man page Source code
plotTuneMultiCritResultGGVIS Man page Source code
plotViperCharts Man page Source code
plotViperCharts.BenchmarkResult Source code
plotViperCharts.Prediction Source code
plotViperCharts.ResampleResult Source code
plotViperCharts.list Source code
ppv Man page
predict.WrappedModel Man page Source code
predictFailureModel Source code
predictHomogeneousEnsemble Source code
predictLearner Man page Source code
predictLearner.BaggingWrapper Source code
predictLearner.BaseWrapper Source code
predictLearner.ConstantClassWrapper Source code
predictLearner.CostSensClassifWrapper Source code
predictLearner.CostSensRegrWrapper Source code
predictLearner.CostSensWeightedPairsWrapper Source code
predictLearner.FeatSelWrapper Source code
predictLearner.FilterWrapper Source code
predictLearner.ModelMultiplexer Source code
predictLearner.MulticlassWrapper Source code
predictLearner.MultilabelBinaryRelevanceWrapper Source code
predictLearner.MultilabelClassifierChainsWrapper Source code
predictLearner.MultilabelDBRWrapper Source code
predictLearner.MultilabelNestedStackingWrapper Source code
predictLearner.MultilabelStackingWrapper Source code
predictLearner.PreprocWrapper Source code
predictLearner.StackedLearner Source code
predictLearner.TuneWrapper Source code
predictLearner.classif.C50 Source code
predictLearner.classif.IBk Source code
predictLearner.classif.J48 Source code
predictLearner.classif.JRip Source code
predictLearner.classif.LiblineaRL1L2SVC Source code
predictLearner.classif.LiblineaRL1LogReg Source code
predictLearner.classif.LiblineaRL2L1SVC Source code
predictLearner.classif.LiblineaRL2LogReg Source code
predictLearner.classif.LiblineaRL2SVC Source code
predictLearner.classif.LiblineaRMultiClassSVC Source code
predictLearner.classif.OneR Source code
predictLearner.classif.PART Source code
predictLearner.classif.RRF Source code
predictLearner.classif.ada Source code
predictLearner.classif.bartMachine Source code
predictLearner.classif.bdk Source code
predictLearner.classif.binomial Source code
predictLearner.classif.blackboost Source code
predictLearner.classif.boosting Source code
predictLearner.classif.bst Source code
predictLearner.classif.cforest Source code
predictLearner.classif.clusterSVM Source code
predictLearner.classif.ctree Source code
predictLearner.classif.cvglmnet Source code
predictLearner.classif.dbnDNN Source code
predictLearner.classif.dcSVM Source code
predictLearner.classif.earth Source code
predictLearner.classif.evtree Source code
predictLearner.classif.extraTrees Source code
predictLearner.classif.featureless Source code
predictLearner.classif.fnn Source code
predictLearner.classif.gamboost Source code
predictLearner.classif.gaterSVM Source code
predictLearner.classif.gausspr Source code
predictLearner.classif.gbm Source code
predictLearner.classif.geoDA Source code
predictLearner.classif.glmboost Source code
predictLearner.classif.glmnet Source code
predictLearner.classif.h2o.deeplearning Source code
predictLearner.classif.h2o.gbm Source code
predictLearner.classif.h2o.glm Source code
predictLearner.classif.h2o.randomForest Source code
predictLearner.classif.hdrda Source code
predictLearner.classif.kknn Source code
predictLearner.classif.knn Source code
predictLearner.classif.ksvm Source code
predictLearner.classif.lda Source code
predictLearner.classif.linDA Source code
predictLearner.classif.logreg Source code
predictLearner.classif.lqa Source code
predictLearner.classif.lssvm Source code
predictLearner.classif.lvq1 Source code
predictLearner.classif.mda Source code
predictLearner.classif.mlp Source code
predictLearner.classif.multinom Source code
predictLearner.classif.naiveBayes Source code
predictLearner.classif.neuralnet Source code
predictLearner.classif.nnTrain Source code
predictLearner.classif.nnet Source code
predictLearner.classif.nodeHarvest Source code
predictLearner.classif.pamr Source code
predictLearner.classif.penalized.fusedlasso Source code
predictLearner.classif.penalized.lasso Source code
predictLearner.classif.penalized.ridge Source code
predictLearner.classif.plr Source code
predictLearner.classif.plsdaCaret Source code
predictLearner.classif.probit Source code
predictLearner.classif.qda Source code
predictLearner.classif.quaDA Source code
predictLearner.classif.rFerns Source code
predictLearner.classif.randomForest Source code
predictLearner.classif.randomForestSRC Source code
predictLearner.classif.ranger Source code
predictLearner.classif.rda Source code
predictLearner.classif.rknn Source code
predictLearner.classif.rotationForest Source code
predictLearner.classif.rpart Source code
predictLearner.classif.rrlda Source code
predictLearner.classif.saeDNN Source code
predictLearner.classif.sda Source code
predictLearner.classif.sparseLDA Source code
predictLearner.classif.svm Source code
predictLearner.classif.xgboost Source code
predictLearner.classif.xyf Source code
predictLearner.cluster.Cobweb Source code
predictLearner.cluster.EM Source code
predictLearner.cluster.FarthestFirst Source code
predictLearner.cluster.SimpleKMeans Source code
predictLearner.cluster.XMeans Source code
predictLearner.cluster.cmeans Source code
predictLearner.cluster.dbscan Source code
predictLearner.cluster.kkmeans Source code
predictLearner.cluster.kmeans Source code
predictLearner.multilabel.cforest Source code
predictLearner.multilabel.rFerns Source code
predictLearner.multilabel.randomForestSRC Source code
predictLearner.regr.GPfit Source code
predictLearner.regr.IBk Source code
predictLearner.regr.LiblineaRL2L1SVR Source code
predictLearner.regr.LiblineaRL2L2SVR Source code
predictLearner.regr.RRF Source code
predictLearner.regr.bartMachine Source code
predictLearner.regr.bcart Source code
predictLearner.regr.bdk Source code
predictLearner.regr.bgp Source code
predictLearner.regr.bgpllm Source code
predictLearner.regr.blackboost Source code
predictLearner.regr.blm Source code
predictLearner.regr.brnn Source code
predictLearner.regr.bst Source code
predictLearner.regr.btgp Source code
predictLearner.regr.btgpllm Source code
predictLearner.regr.btlm Source code
predictLearner.regr.cforest Source code
predictLearner.regr.crs Source code
predictLearner.regr.ctree Source code
predictLearner.regr.cubist Source code
predictLearner.regr.cvglmnet Source code
predictLearner.regr.earth Source code
predictLearner.regr.elmNN Source code
predictLearner.regr.evtree Source code
predictLearner.regr.extraTrees Source code
predictLearner.regr.featureless Source code
predictLearner.regr.fnn Source code
predictLearner.regr.frbs Source code
predictLearner.regr.gamboost Source code
predictLearner.regr.gausspr Source code
predictLearner.regr.gbm Source code
predictLearner.regr.glm Source code
predictLearner.regr.glmboost Source code
predictLearner.regr.glmnet Source code
predictLearner.regr.h2o.deeplearning Source code
predictLearner.regr.h2o.gbm Source code
predictLearner.regr.h2o.glm Source code
predictLearner.regr.h2o.randomForest Source code
predictLearner.regr.kknn Source code
predictLearner.regr.km Source code
predictLearner.regr.ksvm Source code
predictLearner.regr.laGP Source code
predictLearner.regr.lm Source code
predictLearner.regr.mars Source code
predictLearner.regr.mob Source code
predictLearner.regr.nnet Source code
predictLearner.regr.nodeHarvest Source code
predictLearner.regr.pcr Source code
predictLearner.regr.penalized.fusedlasso Source code
predictLearner.regr.penalized.lasso Source code
predictLearner.regr.penalized.ridge Source code
predictLearner.regr.plsr Source code
predictLearner.regr.randomForest Source code
predictLearner.regr.randomForestSRC Source code
predictLearner.regr.ranger Source code
predictLearner.regr.rknn Source code
predictLearner.regr.rpart Source code
predictLearner.regr.rsm Source code
predictLearner.regr.rvm Source code
predictLearner.regr.slim Source code
predictLearner.regr.svm Source code
predictLearner.regr.xgboost Source code
predictLearner.regr.xyf Source code
predictLearner.surv.CoxBoost Source code
predictLearner.surv.cforest Source code
predictLearner.surv.coxph Source code
predictLearner.surv.cv.CoxBoost Source code
predictLearner.surv.cvglmnet Source code
predictLearner.surv.gamboost Source code
predictLearner.surv.gbm Source code
predictLearner.surv.glmboost Source code
predictLearner.surv.glmnet Source code
predictLearner.surv.penalized.fusedlasso Source code
predictLearner.surv.penalized.lasso Source code
predictLearner.surv.penalized.ridge Source code
predictLearner.surv.randomForestSRC Source code
predictLearner.surv.ranger Source code
predictLearner.surv.rpart Source code
predictLearner2 Source code
predict_nofeatures Source code
print.Aggregation Source code
print.BaggingModel Source code
print.BaseWrapper Source code
print.BenchmarkResult Source code
print.ChainModel Source code
print.ClassifTask Source code
print.ClusterTask Source code
print.ConfusionMatrix Man page Source code
print.CostSensTask Source code
print.FailureModel Source code
print.FeatSelControl Source code
print.FeatSelResult Source code
print.FeatureImportance Source code
print.Filter Source code
print.FilterMethodsList Source code
print.FilterValues Source code
print.FunctionalANOVAData Source code
print.HoldoutDesc Source code
print.HyperParsEffectData Source code
print.ImputationDesc Source code
print.Learner Source code
print.LearningCurveData Source code
print.ListLearners Source code
print.Measure Source code
print.MultilabelTask Source code
print.OptModel Source code
print.PartialDependenceData Source code
print.Prediction Source code
print.ROCMeasures Man page Source code
print.RepCVDesc Source code
print.ResampleDesc Source code
print.ResampleInstance Source code
print.ResamplePrediction Source code
print.ResampleResult Source code
print.SubsampleDesc Source code
print.SupervisedTask Source code
print.Task Source code
print.TuneControl Source code
print.TuneMultiCritControl Source code
print.TuneMultiCritResult Source code
print.TuneResult Source code
print.UnsupervisedTask Source code
print.WrappedModel Source code
print.mlr.dump Source code
printHead Source code
propVectorToMatrix Source code
qsr Man page
rae Man page
recodeSurvivalTimes Source code
recodeY Source code
reduceBatchmarkResults Man page Source code
regr.featureless Man page
regr.randomForest Man page
reimpute Man page Source code
reimpute.Task Source code
reimpute.data.frame Source code
removeConstantFeatures Man page Source code
removeConstantFeatures.Task Source code
removeConstantFeatures.data.frame Source code
removeFromDots Source code
removeHyperPars Man page Source code
removeHyperPars.BaseEnsemble Source code
removeHyperPars.BaseWrapper Source code
removeHyperPars.Learner Source code
repcv Man page Source code
replaceDupeMeasureNames Source code
requireLearnerPackages Source code
resample Man page Source code
resample.fun Source code
rf.importance Man page
rf.min.depth Man page
rmse Man page
rmsle Man page
roundIntegers Source code
rowiseRatio Source code
rrse Man page
rsq Man page
sae Man page
sampleBinaryClass Source code
sdStandardError Source code
selectFeatures Man page Source code
selectFeaturesExhaustive Source code
selectFeaturesGA Source code
selectFeaturesRandom Source code
selectFeaturesSequential Source code
setAggregation Man page Source code
setDefaultImputeVal Source code
setHyperPars Man page Source code
setHyperPars2 Man page Source code
setHyperPars2.BaseEnsemble Source code
setHyperPars2.BaseWrapper Source code
setHyperPars2.Learner Source code
setId Man page Source code
setLearnerId Man page Source code
setMlrOption Source code
setPredictThreshold Man page Source code
setPredictType Man page Source code
setPredictType.BaggingWrapper Source code
setPredictType.BaseEnsemble Source code
setPredictType.BaseWrapper Source code
setPredictType.Learner Source code
setPredictType.StackedLearner Source code
setSlaveOptions Source code
setThreshold Man page Source code
silhouette Man page
simpleImpute Source code
simplifyMeasureNames Man page Source code
smote Man page Source code
sonar.task Man page
spearmanrho Man page
sse Man page
ssr Man page
stackCV Source code
stackNoCV Source code
subsample Man page Source code
subsetTask Man page Source code
summarizeColumns Man page Source code
summarizeColumns.Task Source code
summarizeColumns.data.frame Source code
summarizeLevels Man page Source code
summarizeLevels.Task Source code
summarizeLevels.data.frame Source code
suppressWarning Source code
test.join Man page
test.max Man page
test.mean Man page
test.median Man page
test.min Man page
test.range Man page
test.rmse Man page
test.sd Man page
test.sum Man page
testgroup.mean Man page
timeboth Man page
timepredict Man page
timetrain Man page
tn Man page
tnr Man page
tp Man page
tpr Man page
train Man page Source code
train.max Man page
train.mean Man page
train.median Man page
train.min Man page
train.range Man page
train.rmse Man page
train.sd Man page
train.sum Man page
trainLearner Man page Source code
trainLearner.BaggingWrapper Source code
trainLearner.ConstantClassWrapper Source code
trainLearner.CostSensClassifWrapper Source code
trainLearner.CostSensRegrWrapper Source code
trainLearner.CostSensWeightedPairsWrapper Source code
trainLearner.DownsampleWrapper Source code
trainLearner.FeatSelWrapper Source code
trainLearner.FilterWrapper Source code
trainLearner.ModelMultiplexer Source code
trainLearner.MulticlassWrapper Source code
trainLearner.MultilabelBinaryRelevanceWrapper Source code
trainLearner.MultilabelClassifierChainsWrapper Source code
trainLearner.MultilabelDBRWrapper Source code
trainLearner.MultilabelNestedStackingWrapper Source code
trainLearner.MultilabelStackingWrapper Source code
trainLearner.OverBaggingWrapper Source code
trainLearner.OversampleWrapper Source code
trainLearner.PreprocWrapper Source code
trainLearner.SMOTEWrapper Source code
trainLearner.StackedLearner Source code
trainLearner.TuneWrapper Source code
trainLearner.UndersampleWrapper Source code
trainLearner.WeightedClassesWrapper Source code
trainLearner.classif.C50 Source code
trainLearner.classif.IBk Source code
trainLearner.classif.J48 Source code
trainLearner.classif.JRip Source code
trainLearner.classif.LiblineaRL1L2SVC Source code
trainLearner.classif.LiblineaRL1LogReg Source code
trainLearner.classif.LiblineaRL2L1SVC Source code
trainLearner.classif.LiblineaRL2LogReg Source code
trainLearner.classif.LiblineaRL2SVC Source code
trainLearner.classif.LiblineaRMultiClassSVC Source code
trainLearner.classif.OneR Source code
trainLearner.classif.PART Source code
trainLearner.classif.RRF Source code
trainLearner.classif.ada Source code
trainLearner.classif.bartMachine Source code
trainLearner.classif.bdk Source code
trainLearner.classif.binomial Source code
trainLearner.classif.blackboost Source code
trainLearner.classif.boosting Source code
trainLearner.classif.bst Source code
trainLearner.classif.cforest Source code
trainLearner.classif.clusterSVM Source code
trainLearner.classif.ctree Source code
trainLearner.classif.cvglmnet Source code
trainLearner.classif.dbnDNN Source code
trainLearner.classif.dcSVM Source code
trainLearner.classif.earth Source code
trainLearner.classif.evtree Source code
trainLearner.classif.extraTrees Source code
trainLearner.classif.featureless Source code
trainLearner.classif.fnn Source code
trainLearner.classif.gamboost Source code
trainLearner.classif.gaterSVM Source code
trainLearner.classif.gausspr Source code
trainLearner.classif.gbm Source code
trainLearner.classif.geoDA Source code
trainLearner.classif.glmboost Source code
trainLearner.classif.glmnet Source code
trainLearner.classif.h2o.deeplearning Source code
trainLearner.classif.h2o.gbm Source code
trainLearner.classif.h2o.glm Source code
trainLearner.classif.h2o.randomForest Source code
trainLearner.classif.hdrda Source code
trainLearner.classif.kknn Source code
trainLearner.classif.knn Source code
trainLearner.classif.ksvm Source code
trainLearner.classif.lda Source code
trainLearner.classif.linDA Source code
trainLearner.classif.logreg Source code
trainLearner.classif.lqa Source code
trainLearner.classif.lssvm Source code
trainLearner.classif.lvq1 Source code
trainLearner.classif.mda Source code
trainLearner.classif.mlp Source code
trainLearner.classif.multinom Source code
trainLearner.classif.naiveBayes Source code
trainLearner.classif.neuralnet Source code
trainLearner.classif.nnTrain Source code
trainLearner.classif.nnet Source code
trainLearner.classif.nodeHarvest Source code
trainLearner.classif.pamr Source code
trainLearner.classif.penalized.fusedlasso Source code
trainLearner.classif.penalized.lasso Source code
trainLearner.classif.penalized.ridge Source code
trainLearner.classif.plr Source code
trainLearner.classif.plsdaCaret Source code
trainLearner.classif.probit Source code
trainLearner.classif.qda Source code
trainLearner.classif.quaDA Source code
trainLearner.classif.rFerns Source code
trainLearner.classif.randomForest Source code
trainLearner.classif.randomForestSRC Source code
trainLearner.classif.ranger Source code
trainLearner.classif.rda Source code
trainLearner.classif.rknn Source code
trainLearner.classif.rotationForest Source code
trainLearner.classif.rpart Source code
trainLearner.classif.rrlda Source code
trainLearner.classif.saeDNN Source code
trainLearner.classif.sda Source code
trainLearner.classif.sparseLDA Source code
trainLearner.classif.svm Source code
trainLearner.classif.xgboost Source code
trainLearner.classif.xyf Source code
trainLearner.cluster.Cobweb Source code
trainLearner.cluster.EM Source code
trainLearner.cluster.FarthestFirst Source code
trainLearner.cluster.SimpleKMeans Source code
trainLearner.cluster.XMeans Source code
trainLearner.cluster.cmeans Source code
trainLearner.cluster.dbscan Source code
trainLearner.cluster.kkmeans Source code
trainLearner.cluster.kmeans Source code
trainLearner.multilabel.cforest Source code
trainLearner.multilabel.rFerns Source code
trainLearner.multilabel.randomForestSRC Source code
trainLearner.regr.GPfit Source code
trainLearner.regr.IBk Source code
trainLearner.regr.LiblineaRL2L1SVR Source code
trainLearner.regr.LiblineaRL2L2SVR Source code
trainLearner.regr.RRF Source code
trainLearner.regr.bartMachine Source code
trainLearner.regr.bcart Source code
trainLearner.regr.bdk Source code
trainLearner.regr.bgp Source code
trainLearner.regr.bgpllm Source code
trainLearner.regr.blackboost Source code
trainLearner.regr.blm Source code
trainLearner.regr.brnn Source code
trainLearner.regr.bst Source code
trainLearner.regr.btgp Source code
trainLearner.regr.btgpllm Source code
trainLearner.regr.btlm Source code
trainLearner.regr.cforest Source code
trainLearner.regr.crs Source code
trainLearner.regr.ctree Source code
trainLearner.regr.cubist Source code
trainLearner.regr.cvglmnet Source code
trainLearner.regr.earth Source code
trainLearner.regr.elmNN Source code
trainLearner.regr.evtree Source code
trainLearner.regr.extraTrees Source code
trainLearner.regr.featureless Source code
trainLearner.regr.fnn Source code
trainLearner.regr.frbs Source code
trainLearner.regr.gamboost Source code
trainLearner.regr.gausspr Source code
trainLearner.regr.gbm Source code
trainLearner.regr.glm Source code
trainLearner.regr.glmboost Source code
trainLearner.regr.glmnet Source code
trainLearner.regr.h2o.deeplearning Source code
trainLearner.regr.h2o.gbm Source code
trainLearner.regr.h2o.glm Source code
trainLearner.regr.h2o.randomForest Source code
trainLearner.regr.kknn Source code
trainLearner.regr.km Source code
trainLearner.regr.ksvm Source code
trainLearner.regr.laGP Source code
trainLearner.regr.lm Source code
trainLearner.regr.mars Source code
trainLearner.regr.mob Source code
trainLearner.regr.nnet Source code
trainLearner.regr.nodeHarvest Source code
trainLearner.regr.pcr Source code
trainLearner.regr.penalized.fusedlasso Source code
trainLearner.regr.penalized.lasso Source code
trainLearner.regr.penalized.ridge Source code
trainLearner.regr.plsr Source code
trainLearner.regr.randomForest Source code
trainLearner.regr.randomForestSRC Source code
trainLearner.regr.ranger Source code
trainLearner.regr.rknn Source code
trainLearner.regr.rpart Source code
trainLearner.regr.rsm Source code
trainLearner.regr.rvm Source code
trainLearner.regr.slim Source code
trainLearner.regr.svm Source code
trainLearner.regr.xgboost Source code
trainLearner.regr.xyf Source code
trainLearner.surv.CoxBoost Source code
trainLearner.surv.cforest Source code
trainLearner.surv.coxph Source code
trainLearner.surv.cv.CoxBoost Source code
trainLearner.surv.cvglmnet Source code
trainLearner.surv.gamboost Source code
trainLearner.surv.gbm Source code
trainLearner.surv.glmboost Source code
trainLearner.surv.glmnet Source code
trainLearner.surv.penalized.fusedlasso Source code
trainLearner.surv.penalized.lasso Source code
trainLearner.surv.penalized.ridge Source code
trainLearner.surv.randomForestSRC Source code
trainLearner.surv.ranger Source code
trainLearner.surv.rpart Source code
tuneCMAES Source code
tuneDesign Source code
tuneGenSA Source code
tuneGrid Source code
tuneIrace Source code
tuneMBO Source code
tuneMultiCritGrid Source code
tuneMultiCritNSGA2 Source code
tuneMultiCritRandom Source code
tuneParams Man page Source code
tuneParamsMultiCrit Man page Source code
tuneRandom Source code
tuneThreshold Man page Source code
tunerFitnFun Source code
tunerFitnFunVectorized Source code
tunerSmoofFun Source code
undersample Man page Source code
univariate Man page
wkappa Man page
wpbc.task Man page
yeast.task Man page

Files

inst
inst/examples
inst/examples/MultilabelWrapper.R
inst/CITATION
inst/makeData.R
inst/doc
inst/doc/mlr.R
inst/doc/mlr.Rmd
inst/doc/mlr.html
tests
tests/run-learners-cluster.R
tests/run-stack.R
tests/run-cluster.R
tests/run-learners-classif.R
tests/run-learners-multilabel.R
tests/run-learners-classiflabelswitch.R
tests/run-regr.R
tests/run-base.R
tests/run-featsel.R
tests/run-learners-surv.R
tests/run-parallel.R
tests/run-learners-general.R
tests/run-surv.R
tests/run-tune.R
tests/run-learners-regr.R
tests/run-multilabel.R
tests/testthat
tests/testthat/test_regr_bdk.R
tests/testthat/test_surv_randomForestSRC.R
tests/testthat/test_regr_LiblineaRL2L2SVR.R
tests/testthat/test_base_plotResiduals.R
tests/testthat/test_regr_nodeHarvest.R
tests/testthat/test_base_resample_bs.R
tests/testthat/test_regr_evtree.R
tests/testthat/test_classif_LiblineaRL1L2SVC.R
tests/testthat/test_tune_tuneIrace.R
tests/testthat/test_regr_crs.R
tests/testthat/test_regr_IBk.R
tests/testthat/Rplots.pdf
tests/testthat/test_classif_gaterSVM.R
tests/testthat/test_classif_bdk.R
tests/testthat/test_regr_km.R
tests/testthat/test_base_costsens.R
tests/testthat/test_base_setPredictType.R
tests/testthat/test_classif_clusterSVM.R
tests/testthat/test_classif_OneR.R
tests/testthat/test_regr_gamboost.R
tests/testthat/test_cluster_kkmeans.R
tests/testthat/test_classif_ranger.R
tests/testthat/test_base_resample_b632plus.R
tests/testthat/test_surv_penalized_lasso.R
tests/testthat/test_base_normalizeFeatures.R
tests/testthat/test_regr_bgp.R
tests/testthat/test_tune_tuneMBO.R
tests/testthat/test_base_getTaskFormula.R
tests/testthat/test_base_getFeatureImportance.R
tests/testthat/test_classif_naiveBayes.R
tests/testthat/test_classif_probit.R
tests/testthat/test_base_getTaskData.R
tests/testthat/test_base_FailureModel.R
tests/testthat/test_classif_h2ogbm.R
tests/testthat/test_classif_geoDA.R
tests/testthat/test_base_imbal_overbagging.R
tests/testthat/test_base_estimateResidualVariance.R
tests/testthat/test_regr_elmNN.R
tests/testthat/test_base_measures.R
tests/testthat/test_featsel_FilterWrapper.R
tests/testthat/test_classif_binomial.R
tests/testthat/test_regr_cforest.R
tests/testthat/test_classif_gbm.R
tests/testthat/test_base_selectFeatures.R
tests/testthat/test_classif_LiblineaRL2SVC.R
tests/testthat/test_regr_blackboost.R
tests/testthat/test_featsel_FeatSelWrapper.R
tests/testthat/test_classif_LiblineaRL1LogReg.R
tests/testthat/test_base_getOOBPreds.R
tests/testthat/test_base_configureMlr.R
tests/testthat/test_classif_cvglmnet.R
tests/testthat/test_classif_C50.R
tests/testthat/test_base_checkTaskSubset.R
tests/testthat/test_regr_bgpllm.R
tests/testthat/test_base_removeConstantFeatures.R
tests/testthat/test_base_orderedfactors.R
tests/testthat/test_regr_randomForestSRC.R
tests/testthat/test_base_downsample.R
tests/testthat/test_regr_xyf.R
tests/testthat/test_regr_cvglmnet.R
tests/testthat/test_regr_penalized_fusedlasso.R
tests/testthat/test_regr_h2odeeplearning.R
tests/testthat/test_base_blocking.R
tests/testthat/test_base_train.R
tests/testthat/test_cluster_XMeans.R
tests/testthat/test_cluster_dbscan.R
tests/testthat/test_regr_laGP.R
tests/testthat/test_classif_gausspr.R
tests/testthat/test_classif_bst.R
tests/testthat/test_classif_neuralnet.R
tests/testthat/test_base_generateCalibration.R
tests/testthat/test_classif_ctree.R
tests/testthat/test_base_BaseWrapper.R
tests/testthat/test_base_generateHyperParsEffect.R
tests/testthat/test_classif_cforest.R
tests/testthat/test_regr_glmboost.R
tests/testthat/test_base_MulticlassWrapper.R
tests/testthat/test_surv_CoxBoost.R
tests/testthat/test_surv_penalized_ridge.R
tests/testthat/test_regr_glmnet.R
tests/testthat/test_multilabel_cforest.R
tests/testthat/test_surv_glmnet.R
tests/testthat/test_base_generateLearningCurve.R
tests/testthat/test_classif_extraTrees.R
tests/testthat/test_featsel_analyzeFeatSelResult.R
tests/testthat/test_featsel_selectFeatures.R
tests/testthat/test_regr_LiblineaRL2L1SVR.R
tests/testthat/test_classif_JRip.R
tests/testthat/test_learners_all_regr.R
tests/testthat/test_base_generateThreshVsPerf.R
tests/testthat/test_base_calculateROCMeasures.R
tests/testthat/test_learners_all_clusters.R
tests/testthat/test_classif_sda.R
tests/testthat/test_tune_tuneThreshold.R
tests/testthat/helper_learners_all.R
tests/testthat/test_base_mergeSmallFactorLevels.R
tests/testthat/test_base_capLargeValues.R
tests/testthat/test_regr_mob.R
tests/testthat/test_classif_rpart.R
tests/testthat/test_learners_all_surv.R
tests/testthat/test_regr_frbs.R
tests/testthat/test_regr_blm.R
tests/testthat/test_classif_LiblineaRL2L1SVC.R
tests/testthat/test_classif_h2orandomForest.R
tests/testthat/test_regr_rsm.R
tests/testthat/test_classif_dbnDNN.R
tests/testthat/test_base_resample_loo.R
tests/testthat/test_tune_tuneGenSA.R
tests/testthat/test_regr_h2ogbm.R
tests/testthat/test_surv_coxph.R
tests/testthat/test_classif_dcSVM.R
tests/testthat/test_surv_cv.CoxBoost.R
tests/testthat/test_base_simplifyMeasureNames.R
tests/testthat/test_classif_blackboost.R
tests/testthat/test_base_createDummyFeatures.R
tests/testthat/test_base_resample_stratify.R
tests/testthat/test_base_debugdump.R
tests/testthat/test_classif_svm.R
tests/testthat/test_regr_penalized_ridge.R
tests/testthat/test_classif_ada.R
tests/testthat/test_classif_penalized_fusedlasso.R
tests/testthat/test_base_weights.R
tests/testthat/test_classif_ksvm.R
tests/testthat/test_base_imbal_overundersample.R
tests/testthat/test_classif_kknn.R
tests/testthat/test_classif_glmboost.R
tests/testthat/test_base_DummyFeaturesWrapper.R
tests/testthat/test_classif_randomForest.R
tests/testthat/test_base_ModelMultiplexer.R
tests/testthat/test_classif_logreg.R
tests/testthat/test_classif_h2oglm.R
tests/testthat/test_base_clustering.R
tests/testthat/test_regr_btlm.R
tests/testthat/test_base_aggregations.R
tests/testthat/test_regr_randomForest.R
tests/testthat/test_base_BaggingWrapper.R
tests/testthat/test_regr_ksvm.R
tests/testthat/test_base_dropFeatures.R
tests/testthat/test_base_BaseEnsemble.R
tests/testthat/test_classif_plsdaCaret.R
tests/testthat/test_classif_gamboost.R
tests/testthat/test_base_UnsupervisedTask.R
tests/testthat/test_surv_rpart.R
tests/testthat/test_classif_lqa.R
tests/testthat/test_base_getHyperPars.R
tests/testthat/test_base_generateFilterValuesData.R
tests/testthat/test_regr_penalized_lasso.R
tests/testthat/test_base_resample.R
tests/testthat/test_classif_randomForestSRC.R
tests/testthat/test_regr_extraTrees.R
tests/testthat/helper_mock_learners.R
tests/testthat/test_tune_ModelMultiplexer.R
tests/testthat/test_cluster_FarthestFirst.R
tests/testthat/test_surv_gbm.R
tests/testthat/test_learners_classiflabelswitch.R
tests/testthat/test_classif_fnn.R
tests/testthat/test_base_plotBMRRanksAsBarChart.R
tests/testthat/test_base_PreprocWrapperCaret.R
tests/testthat/test_classif_plr.R
tests/testthat/test_regr_nnet.R
tests/testthat/test_learners_all_general.R
tests/testthat/test_classif_mda.R
tests/testthat/test_base_Learner.R
tests/testthat/test_base_calculateConfusionMatrix.R
tests/testthat/test_classif_rrlda.R
tests/testthat/test_multilabel_randomForestSRC.R
tests/testthat/test_base_performance.R
tests/testthat/test_base_resample_b632.R
tests/testthat/test_tune_tuneParamsMultiCrit.R
tests/testthat/test_surv_glmboost.R
tests/testthat/test_learners_all_multilabel.R
tests/testthat/test_classif_h2odeeplearning.R
tests/testthat/test_base_convertMLBenchObjToTask.R
tests/testthat/test_classif_rda.R
tests/testthat/test_base_summarizeColumns.R
tests/testthat/test_parallel_all.R
tests/testthat/test_classif_hdrda.R
tests/testthat/test_base_impute.R
tests/testthat/test_base_listLearners.R
tests/testthat/test_classif_saeDNN.R
tests/testthat/test_base_plotLearnerPrediction.R
tests/testthat/test_regr_ctree.R
tests/testthat/test_surv_cvglmnet.R
tests/testthat/test_classif_rknn.R
tests/testthat/test_regr_slim.R
tests/testthat/test_base_resample_holdout.R
tests/testthat/test_classif_xgboost.R
tests/testthat/test_regr_earth.R
tests/testthat/test_regr_gausspr.R
tests/testthat/test_classif_linDA.R
tests/testthat/test_base_imbal_weightedclasses.R
tests/testthat/test_tune_tuneGrid.R
tests/testthat/helper_objects.R
tests/testthat/test_batchmark.R
tests/testthat/helper_zzz.R
tests/testthat/test_regr_gbm.R
tests/testthat/test_base_resample_weights.R
tests/testthat/test_classif_pamr.R
tests/testthat/test_base_predict.R
tests/testthat/test_regr_lm.R
tests/testthat/test_cluster_cmeans.R
tests/testthat/test_base_tuning.R
tests/testthat/test_regr_fnn.R
tests/testthat/test_classif_evtree.R
tests/testthat/test_regr_h2orandomForest.R
tests/testthat/test_surv_ranger.R
tests/testthat/test_base_helpers.R
tests/testthat/test_classif_penalized_ridge.R
tests/testthat/test_base_prediction_operators.R
tests/testthat/test_regr_cubist.R
tests/testthat/test_classif_sparseLDA.R
tests/testthat/test_classif_glmnet.R
tests/testthat/test_classif_penalized_lasso.R
tests/testthat/test_base_plotCritDifferences.R
tests/testthat/test_regr_brnn.R
tests/testthat/test_base_checkData.R
tests/testthat/test_regr_h2oglm.R
tests/testthat/test_cluster_Cobweb.R
tests/testthat/test_regr_rpart.R
tests/testthat/test_classif_mlp.R
tests/testthat/test_regr_btgp.R
tests/testthat/test_cluster_kmeans.R
tests/testthat/test_base_makeLearners.R
tests/testthat/test_learners_all_classif.R
tests/testthat/test_base_resample_cv.R
tests/testthat/test_base_SupervisedTask.R
tests/testthat/test_classif_lda.R
tests/testthat/test_regr_ranger.R
tests/testthat/test_classif_rFerns.R
tests/testthat/test_base_imbal_smote.R
tests/testthat/test_base_ConstantClassWrapper.R
tests/testthat/test_classif_LibLineaRMultiClassSVC.R
tests/testthat/test_regr_bartMachine.R
tests/testthat/test_cluster_EM.R
tests/testthat/test_classif_IBk.R
tests/testthat/test_base_PreprocWrapper.R
tests/testthat/test_cluster_SimpleKMeans.R
tests/testthat/test_classif_rotationForest.R
tests/testthat/test_tune_tuneCMAES.R
tests/testthat/test_regr_xgboost.R
tests/testthat/test_base_getParamSet.R
tests/testthat/test_base_getCaretParamSet.R
tests/testthat/test_classif_xyf.R
tests/testthat/test_base_TaskDesc.R
tests/testthat/test_base_resample_repcv.R
tests/testthat/test_regr_bst.R
tests/testthat/test_classif_bartMachine.R
tests/testthat/test_surv_cforest.R
tests/testthat/test_base_plotViperCharts.R
tests/testthat/test_base_joinClassLevels.R
tests/testthat/test_base_multilabel.R
tests/testthat/test_base_hyperpars.R
tests/testthat/test_regr_btgpllm.R
tests/testthat/test_base_mergeBenchmarkResults.R
tests/testthat/test_regr_kknn.R
tests/testthat/test_base_chains.R
tests/testthat/test_base_generatePartialDependence.R
tests/testthat/test_classif_quaDA.R
tests/testthat/test_surv_penalized_fusedlasso.R
tests/testthat/test_base_orderBMRLevels.R
tests/testthat/test_base_costs.R
tests/testthat/test_classif_boost.R
tests/testthat/test_surv_gamboost.R
tests/testthat/test_base_relativeOverfitting.R
tests/testthat/test_classif_RRF.R
tests/testthat/test_regr_rknn.R
tests/testthat/test_base_resample_makeResampleDesc.R
tests/testthat/test_featsel_filters.R
tests/testthat/test_regr_plsr.R
tests/testthat/test_base_resample_convenience.R
tests/testthat/test_base_NoFeaturesModel.R
tests/testthat/test_classif_lssvm.R
tests/testthat/test_base_convertBMRToRankMatrix.R
tests/testthat/test_regr_RRF.R
tests/testthat/test_base_generateFeatureImportanceData.R
tests/testthat/test_classif_earth.R
tests/testthat/test_classif_J48.R
tests/testthat/test_classif_nnTrain.R
tests/testthat/test_regr_featureless.R
tests/testthat/test_classif_LiblineaRL2LogReg.R
tests/testthat/test_tuneParams.R
tests/testthat/test_base_plotBMRSummary.R
tests/testthat/test_base_friedmanTestBMR.R
tests/testthat/test_base_resample_subsample.R
tests/testthat/test_classif_knn.R
tests/testthat/test_base_benchmark.R
tests/testthat/test_classif_featureless.R
tests/testthat/test_base_checkTaskLearner.R
tests/testthat/test_base_Learner_properties.R
tests/testthat/test_base_learnerArgsToControl.R
tests/testthat/test_base_summarizeLevels.R
tests/testthat/test_classif_nnet.R
tests/testthat/test_classif_PART.R
tests/testthat/test_base_plotBMRBoxplots.R
tests/testthat/test_regr_GPfit.R
tests/testthat/test_base_TuneWrapper.R
tests/testthat/test_regr_glm.R
tests/testthat/test_base_resample_operators.R
tests/testthat/test_classif_qda.R
tests/testthat/test_classif_nodeHarvest.R
tests/testthat/test_stack.R
tests/testthat/test_tune_tuneDesign.R
tests/testthat/test_tune_tuneRandom.R
tests/testthat/test_classif_multinom.R
tests/testthat/test_regr_svm.R
tests/testthat/helper_helpers.R
tests/testthat/test_regr_bcart.R
tests/run-classif.R
src
src/smote.c
src/macros.h
src/init.c
NAMESPACE
NEWS.md
data
data/pid.task.RData
data/wpbc.task.RData
data/lung.task.RData
data/bh.task.RData
data/yeast.task.RData
data/costiris.task.RData
data/agri.task.RData
data/iris.task.RData
data/mtcars.task.RData
data/sonar.task.RData
data/bc.task.RData
R
R/plotCritDifferences.R
R/RLearner_classif_nodeHarvest.R
R/RLearner_classif_h2ogbm.R
R/SurvTask.R
R/RLearner_regr_glm.R
R/checkTunerParset.R
R/tuneGenSA.R
R/generateThreshVsPerf.R
R/RLearner_regr_plsr.R
R/downsample.R
R/parallelization.R
R/RLearner_cluster_FarthestFirst.R
R/WrappedModel.R
R/RLearner_classif_J48.R
R/RLearner_regr_penalized_lasso.R
R/Prediction.R
R/RLearner_classif_ctree.R
R/FilterWrapper.R
R/getResampleExtract.R
R/plotResiduals.R
R/batchmark.R
R/RLearner_regr_bdk.R
R/tuneDesign.R
R/MultilabelTask.R
R/RLearner_surv_randomForestSRC.R
R/RLearner_surv_cv.CoxBoost.R
R/configureMlr.R
R/RLearner_classif_sda.R
R/RLearner_surv_ranger.R
R/friedmanTestBMR.R
R/TuneResult.R
R/RLearner_regr_bcart.R
R/RLearner_classif_sparseLDA.R
R/RLearner_regr_LiblineaRL2L2SVR.R
R/FeatSelControl.R
R/TuneMultiCritResult.R
R/summarizeColumns.R
R/RLearner_classif_rknn.R
R/utils.R
R/RLearner_regr_h2oglm.R
R/RLearner_classif_earth.R
R/getHyperPars.R
R/Learner.R
R/ClassifTask.R
R/RLearner_regr_ctree.R
R/RLearner_surv_coxph.R
R/RLearner_regr_laGP.R
R/generateFilterValues.R
R/HoldoutInstance_make_fixed.R
R/TuneControlCMAES.R
R/RLearner_regr_randomForest.R
R/OverBaggingWrapper.R
R/Learner_properties.R
R/RLearner_surv_cforest.R
R/mergeBenchmarkResults.R
R/plotBMRRanksAsBarChart.R
R/BaseWrapper_operators.R
R/analyzeFeatSelResult.R
R/RLearner_multilabel_randomForestSRC.R
R/MultilabelNestedStackingWrapper.R
R/setId.R
R/checkTaskSubset.R
R/RLearner_regr_penalized_fusedlasso.R
R/RLearner_classif_kknn.R
R/ClusterTask.R
R/RLearner_classif_glmnet.R
R/ResampleInstances.R
R/helpers.R
R/Aggregation.R
R/Measure_custom_resampled.R
R/Measure_make_cost.R
R/TuneMultiCritControlRandom.R
R/RLearner_cluster_XMeans.R
R/RLearner_regr_gbm.R
R/aucc.R
R/RLearner_surv_penalized_lasso.R
R/RLearner_classif_LiblineaRL2SVC.R
R/RLearner_regr_glmboost.R
R/getTuneResult.R
R/RLearner_surv_glmboost.R
R/checkBMRMeasure.R
R/learners.R
R/RLearner_cluster_EM.R
R/RLearner_regr_cforest.R
R/RLearner_regr_gamboost.R
R/RLearner_cluster_kkmeans.R
R/RLearner_surv_CoxBoost.R
R/RLearner_classif_JRip.R
R/RLearner_regr_slim.R
R/RLearner_regr_h2odeeplearning.R
R/Impute.R
R/RLearner_classif_rrlda.R
R/RLearner_regr_blm.R
R/utils_imbalancy.R
R/checkLearner.R
R/ConstantClassWrapper.R
R/RLearner_classif_bdk.R
R/FeatSelControlSequential.R
R/RLearner_regr_glmnet.R
R/CostSensRegrWrapper.R
R/DownsampleWrapper.R
R/trainLearner.R
R/RLearner_classif_nnet.R
R/evalOptimizationState.R
R/RLearner_multilabel_cforest.R
R/RLearner_classif_gaterSVM.R
R/RLearner_regr_cubist.R
R/RLearner_regr_bgpllm.R
R/RLearner_surv_rpart.R
R/capLargeValues.R
R/RLearner_regr_randomForestSRC.R
R/RLearner_classif_dbnDNN.R
R/plotBMRSummary.R
R/getTaskConstructorForLearner.R
R/RLearner_cluster_SimpleKMeans.R
R/checkAggrBeforeResample.R
R/RemoveConstantFeaturesWrapper.R
R/RLearner_classif_naiveBayes.R
R/RLearner_classif_LiblineaRL1L2SVC.R
R/checkLearnerBeforeTrain.R
R/resample.R
R/plotTuneMultiCritResult.R
R/RLearner_classif_evtree.R
R/generateLearningCurve.R
R/FeatSelControlExhaustive.R
R/RLearner_classif_randomForest.R
R/predict.R
R/estimateResidualVariance.R
R/selectFeaturesExhaustive.R
R/RLearner_classif_bartMachine.R
R/Learner_operators.R
R/generateFeatureImportance.R
R/RLearner_classif_geoDA.R
R/setHyperPars.R
R/RLearner_classif_svm.R
R/tuneMBO.R
R/RLearner_regr_GPfit.R
R/RLearner_regr_cvglmnet.R
R/ModelMultiplexer.R
R/ImputeMethods.R
R/Task_operators.R
R/RLearner_classif_ranger.R
R/RLearner_classif_clusterSVM.R
R/RLearner_regr_nnet.R
R/RLearner_classif_quaDA.R
R/OverUnderSampling.R
R/RLearner_regr_mars.R
R/RLearner_classif_mda.R
R/FailureModel.R
R/getOOBPreds.R
R/generatePartialDependence.R
R/RLearner_classif_LiblineaRL1LogReg.R
R/convertBMRToRankMatrix.R
R/RLearner_classif_rotationForest.R
R/train.R
R/RLearner_surv_gamboost.R
R/RLearner_classif_xyf.R
R/RLearner_classif_LiblineaRMultiClassSVC.R
R/TuneWrapper.R
R/RLearner_classif_bst.R
R/RLearner_regr_earth.R
R/RLearner_classif_boosting.R
R/ResampleInstance.R
R/Measure_properties.R
R/CostSensTask.R
R/RLearner_classif_featureless.R
R/UnsupervisedTask.R
R/RLearner_regr_rsm.R
R/RLearner_regr_nodeHarvest.R
R/RLearner_surv_cvglmnet.R
R/MultilabelDBRWrapper.R
R/RLearner_classif_LiblineaRL2L1SVC.R
R/normalizeFeatures.R
R/RLearner_regr_mob.R
R/RLearner_classif_gausspr.R
R/RLearner_regr_fnn.R
R/plotViperCharts.R
R/RLearner_regr_btgp.R
R/RLearner_classif_extraTrees.R
R/ChainModel_operators.R
R/friedmanPostHocTestBMR.R
R/plotBMRBoxplots.R
R/RLearner_classif_nnTrain.R
R/RLearner_classif_lvq1.R
R/plotLearnerPrediction.R
R/RLearner_regr_penalized_ridge.R
R/benchmark.R
R/resample_convenience.R
R/RLearner_classif_h2oglm.R
R/TuneMultiCritControlNSGA2.R
R/listLearners.R
R/FeatSelResult.R
R/makeLearners.R
R/RLearner_regr_bartMachine.R
R/tuneMultiCritNSGA2.R
R/RLearner_classif_rFerns.R
R/RLearner_regr_ksvm.R
R/HomogeneousEnsemble.R
R/Measure_colAUC.R
R/PreprocWrapperCaret.R
R/relativeOverfitting.R
R/RLearner_cluster_Cobweb.R
R/RLearner_classif_PART.R
R/RLearner_classif_penalized_ridge.R
R/RLearner_regr_rvm.R
R/TuneControlMBO.R
R/RLearner_classif_gamboost.R
R/RLearner_regr_kknn.R
R/OverUndersampleWrapper.R
R/ResampleDesc.R
R/RLearner_regr_km.R
R/RLearner_regr_extraTrees.R
R/OptResult.R
R/RLearner_classif_h2odeeplearning.R
R/getTuneThresholdExtra.R
R/RLearner_classif_lqa.R
R/RLearner_classif_OneR.R
R/BaseEnsemble.R
R/selectFeaturesGA.R
R/summarizeLevels.R
R/RLearner_classif_neuralnet.R
R/RLearner_classif_randomForestSRC.R
R/selectFeatures.R
R/RLearner_classif_hdrda.R
R/predictLearner.R
R/RLearner_classif_rda.R
R/RLearner_cluster_cmeans.R
R/WeightedClassesWrapper.R
R/RLearner_classif_xgboost.R
R/RLearner_regr_bst.R
R/options.R
R/RLearner_classif_h2orandomForest.R
R/fixDataForLearner.R
R/RLearner_classif_cforest.R
R/simplifyMeasureNames.R
R/dropFeatures.R
R/RLearner_regr_RRF.R
R/RLearner_classif_glmboost.R
R/removeConstantFeatures.R
R/getFeatSelResult.R
R/RLearner_surv_penalized_ridge.R
R/tunerFitnFun.R
R/RegrTask.R
R/RLearner_classif_gbm.R
R/tuneParams.R
R/Filter.R
R/setPredictType.R
R/tuneMultiCritGrid.R
R/BaseWrapper.R
R/RLearner_classif_saeDNN.R
R/selectFeaturesRandom.R
R/getMultilabelBinaryPerformances.R
R/RLearner_regr_rpart.R
R/RLearner_surv_penalized_fusedlasso.R
R/filterFeatures.R
R/RLearner_regr_xgboost.R
R/ResamplePrediction.R
R/OptControl.R
R/generateHyperParsEffect.R
R/Measure.R
R/RLearner_classif_dcSVM.R
R/tuneParamsMultiCrit.R
R/RLearner.R
R/RLearner_classif_cvglmnet.R
R/RLearner_classif_rpart.R
R/RLearner_classif_penalized_lasso.R
R/convertX.R
R/benchmark_helpers.R
R/checkTargetPreproc.R
R/CostSensWeightedPairsWrapper.R
R/RLearner_regr_IBk.R
R/RLearner_regr_frbs.R
R/RLearner_regr_crs.R
R/ImputeWrapper.R
R/CostSensClassifWrapper.R
R/MultilabelClassifierChainsWrapper.R
R/SMOTEWrapper.R
R/asROCRPrediction.R
R/RLearner_regr_rknn.R
R/RLearner_classif_ada.R
R/getFeatureImportance.R
R/tuneIrace.R
R/convertMLBenchObjToTask.R
R/RLearner_cluster_dbscan.R
R/joinClassLevels.R
R/ModelMultiplexerParamSet.R
R/FeatSelControlRandom.R
R/RLearner_classif_penalized_fusedlasso.R
R/RLearner_regr_ranger.R
R/aggregations.R
R/RLearner_classif_mlp.R
R/FeatSelControlGA.R
R/RLearner_cluster_kmeans.R
R/RLearner_classif_qda.R
R/RLearner_classif_linDA.R
R/RLearner_regr_btlm.R
R/OptWrapper.R
R/MultilabelBinaryRelevanceWrapper.R
R/calculateROCMeasures.R
R/mutateBits.R
R/smote.R
R/RLearner_classif_RRF.R
R/RLearner_surv_glmnet.R
R/BaggingWrapper.R
R/RLearner_classif_probit.R
R/logFunOpt.R
R/RLearner_classif_plr.R
R/RLearner_regr_bgp.R
R/tuneMultiCritRandom.R
R/Task.R
R/MultilabelStackingWrapper.R
R/utils_opt.R
R/tuneCMAES.R
R/RLearner_regr_btgpllm.R
R/RLearner_regr_LiblineaRL2L1SVR.R
R/StackedLearner.R
R/getNestedTuneResults.R
R/mergeSmallFactorLevels.R
R/RLearner_classif_pamr.R
R/RLearner_regr_lm.R
R/TuneControl.R
R/RLearner_regr_xyf.R
R/PreprocWrapper.R
R/listMeasures.R
R/RLearner_classif_blackboost.R
R/checkTask.R
R/RLearner_classif_logreg.R
R/DummyFeaturesWrapper.R
R/RLearner_classif_LiblineaRL2LogReg.R
R/TuneControlRandom.R
R/tuneGrid.R
R/checkPrediction.R
R/RLearner_classif_C50.R
R/NoFeaturesModel.R
R/tuneRandom.R
R/RLearner_regr_evtree.R
R/RLearner_classif_plsdaCaret.R
R/createDummyFeatures.R
R/TuneControlDesign.R
R/RLearner_regr_pcr.R
R/ResampleResult_operators.R
R/RLearner_regr_featureless.R
R/getClassWeightParam.R
R/RLearner_multilabel_rFerns.R
R/checkMeasures.R
R/generateCalibration.R
R/utils_plot.R
R/TuneControlGenSA.R
R/RLearner_regr_gausspr.R
R/getCaretParamSet.R
R/getParamSet.R
R/RLearner_classif_IBk.R
R/ChainModel.R
R/TuneMultiCritControlGrid.R
R/Prediction_operators.R
R/SupervisedTask.R
R/getConfMatrix.R
R/BenchmarkResultOrderLevels.R
R/TuneControlIrace.R
R/RLearner_classif_lda.R
R/RLearner_classif_multinom.R
R/BaseEnsemble_operators.R
R/setPredictThreshold.R
R/RLearner_classif_binomial.R
R/RLearner_classif_ksvm.R
R/RLearner_regr_h2orandomForest.R
R/RLearner_classif_knn.R
R/measures.R
R/TuneControlGrid.R
R/makeLearner.R
R/datasets.R
R/setThreshold.R
R/RLearner_classif_fnn.R
R/RLearner_regr_blackboost.R
R/ResampleResult.R
R/learnerArgsToControl.R
R/crossover.R
R/RLearner_regr_brnn.R
R/zzz.R
R/RLearner_regr_svm.R
R/performance.R
R/removeHyperPars.R
R/RLearner_regr_elmNN.R
R/calculateConfusionMatrix.R
R/RLearner_surv_gbm.R
R/FeatSelWrapper.R
R/selectFeaturesSequential.R
R/MulticlassWrapper.R
R/RLearner_regr_h2ogbm.R
R/RLearner_classif_lssvm.R
R/BenchmarkResult_operators.R
R/TaskDesc.R
R/tuneThreshold.R
R/TuneMultiCritControl.R
vignettes
vignettes/mlr.Rmd
MD5
build
build/vignette.rds
DESCRIPTION
man
man/plotThreshVsPerfGGVIS.Rd
man/classif.featureless.Rd
man/ResamplePrediction.Rd
man/makeSMOTEWrapper.Rd
man/makeWeightedClassesWrapper.Rd
man/getTaskNFeats.Rd
man/plotLearnerPrediction.Rd
man/makeLearners.Rd
man/getLearnerModel.Rd
man/getCaretParamSet.Rd
man/predictLearner.Rd
man/plotBMRRanksAsBarChart.Rd
man/capLargeValues.Rd
man/getBMRPerformances.Rd
man/plotHyperParsEffect.Rd
man/getBMRPredictions.Rd
man/makeAggregation.Rd
man/filterFeatures.Rd
man/makeTuneControlGrid.Rd
man/reduceBatchmarkResults.Rd
man/getBMRLearnerShortNames.Rd
man/makeCostSensWeightedPairsWrapper.Rd
man/plotResiduals.Rd
man/listMeasures.Rd
man/plotLearningCurve.Rd
man/getFilteredFeatures.Rd
man/setHyperPars.Rd
man/makeCostSensClassifWrapper.Rd
man/analyzeFeatSelResult.Rd
man/getLearnerPackages.Rd
man/getBMRTuneResults.Rd
man/getBMRLearnerIds.Rd
man/TuneMultiCritControl.Rd
man/generateThreshVsPerfData.Rd
man/getTaskTargetNames.Rd
man/estimateResidualVariance.Rd
man/removeConstantFeatures.Rd
man/getFeatureImportance.Rd
man/getTaskClassLevels.Rd
man/generateHyperParsEffectData.Rd
man/makeLearner.Rd
man/measures.Rd
man/getBMRAggrPerformances.Rd
man/getBMRTaskIds.Rd
man/agri.task.Rd
man/getTaskData.Rd
man/imputations.Rd
man/plotPartialDependence.Rd
man/summarizeLevels.Rd
man/makePreprocWrapper.Rd
man/learnerArgsToControl.Rd
man/benchmark.Rd
man/makeMeasure.Rd
man/downsample.Rd
man/listMeasureProperties.Rd
man/getLearnerParVals.Rd
man/plotThreshVsPerf.Rd
man/makeMultilabelStackingWrapper.Rd
man/tuneParamsMultiCrit.Rd
man/makeFilterWrapper.Rd
man/MeasureProperties.Rd
man/getLearnerType.Rd
man/getStackedBaseLearnerPredictions.Rd
man/regr.featureless.Rd
man/setId.Rd
man/getHyperPars.Rd
man/getParamSet.Rd
man/setAggregation.Rd
man/subsetTask.Rd
man/Aggregation.Rd
man/makeImputeWrapper.Rd
man/asROCRPrediction.Rd
man/friedmanPostHocTestBMR.Rd
man/Task.Rd
man/tuneThreshold.Rd
man/makeOverBaggingWrapper.Rd
man/getPredictionDump.Rd
man/mergeSmallFactorLevels.Rd
man/getPredictionProbabilities.Rd
man/getFeatureImportanceLearner.Rd
man/makeStackedLearner.Rd
man/getBMRFilteredFeatures.Rd
man/plotTuneMultiCritResult.Rd
man/getRRPredictionList.Rd
man/generatePartialDependenceData.Rd
man/simplifyMeasureNames.Rd
man/plotROCCurves.Rd
man/TuneControl.Rd
man/plotCalibration.Rd
man/generateLearningCurveData.Rd
man/plotBMRBoxplots.Rd
man/makeResampleDesc.Rd
man/tuneParams.Rd
man/performance.Rd
man/makeMultilabelDBRWrapper.Rd
man/getMlrOptions.Rd
man/plotBMRSummary.Rd
man/joinClassLevels.Rd
man/makeCostSensRegrWrapper.Rd
man/trainLearner.Rd
man/plotCritDifferences.Rd
man/getLearnerShortName.Rd
man/makeFixedHoldoutInstance.Rd
man/generateFilterValuesData.Rd
man/makeTuneControlRandom.Rd
man/plotViperCharts.Rd
man/generateFeatureImportanceData.Rd
man/getFailureModelDump.Rd
man/makeRemoveConstantFeaturesWrapper.Rd
man/makeConstantClassWrapper.Rd
man/ResampleResult.Rd
man/LearnerProperties.Rd
man/listTaskTypes.Rd
man/makeTuneWrapper.Rd
man/getFilterValues.Rd
man/getClassWeightParam.Rd
man/getTaskType.Rd
man/getFeatSelResult.Rd
man/makeResampleInstance.Rd
man/wpbc.task.Rd
man/plotLearningCurveGGVIS.Rd
man/batchmark.Rd
man/summarizeColumns.Rd
man/reimpute.Rd
man/lung.task.Rd
man/BenchmarkResult.Rd
man/mtcars.task.Rd
man/makeTuneControlGenSA.Rd
man/yeast.task.Rd
man/makeMultilabelNestedStackingWrapper.Rd
man/getTaskFormula.Rd
man/getRRTaskDescription.Rd
man/getDefaultMeasure.Rd
man/getPredictionResponse.Rd
man/setPredictType.Rd
man/convertMLBenchObjToTask.Rd
man/bc.task.Rd
man/FailureModel.Rd
man/makeDummyFeaturesWrapper.Rd
man/setHyperPars2.Rd
man/hasProperties.Rd
man/makeTuneControlDesign.Rd
man/learners.Rd
man/listLearnerProperties.Rd
man/train.Rd
man/isFailureModel.Rd
man/iris.task.Rd
man/makeBaggingWrapper.Rd
man/getLearnerPredictType.Rd
man/makeWrappedModel.Rd
man/getMultilabelBinaryPerformances.Rd
man/resample.Rd
man/friedmanTestBMR.Rd
man/normalizeFeatures.Rd
man/addRRMeasure.Rd
man/plotPartialDependenceGGVIS.Rd
man/makeImputeMethod.Rd
man/getTaskDescription.Rd
man/ConfusionMatrix.Rd
man/getOOBPredsLearner.Rd
man/makeFeatSelWrapper.Rd
man/makeFilter.Rd
man/sonar.task.Rd
man/getRRDump.Rd
man/smote.Rd
man/getTaskSize.Rd
man/dropFeatures.Rd
man/makeModelMultiplexer.Rd
man/FeatSelControl.Rd
man/listFilterMethods.Rd
man/plotFilterValuesGGVIS.Rd
man/makeMulticlassWrapper.Rd
man/makeTuneControlIrace.Rd
man/plotFilterValues.Rd
man/aggregations.Rd
man/getBMRTaskDescriptions.Rd
man/getTaskCosts.Rd
man/generateFunctionalANOVAData.Rd
man/TuneMultiCritResult.Rd
man/getProbabilities.Rd
man/getBMRLearners.Rd
man/convertBMRToRankMatrix.Rd
man/getOOBPreds.Rd
man/makeDownsampleWrapper.Rd
man/getTaskDesc.Rd
man/costiris.task.Rd
man/getTaskFeatureNames.Rd
man/makeTuneControlCMAES.Rd
man/getLearnerParamSet.Rd
man/impute.Rd
man/getBMRMeasures.Rd
man/oversample.Rd
man/setThreshold.Rd
man/makeMultilabelClassifierChainsWrapper.Rd
man/getBMRMeasureIds.Rd
man/FeatSelResult.Rd
man/getFailureModelMsg.Rd
man/makeModelMultiplexerParamSet.Rd
man/getRRPredictions.Rd
man/RLearner.Rd
man/mergeBenchmarkResults.Rd
man/TuneResult.Rd
man/getConfMatrix.Rd
man/plotTuneMultiCritResultGGVIS.Rd
man/getBMRTaskDescs.Rd
man/setPredictThreshold.Rd
man/makeCustomResampledMeasure.Rd
man/getBMRModels.Rd
man/getLearnerId.Rd
man/makeCostMeasure.Rd
man/predict.WrappedModel.Rd
man/estimateRelativeOverfitting.Rd
man/getTaskTargets.Rd
man/makeTuneControlMBO.Rd
man/getTuneResult.Rd
man/listLearners.Rd
man/configureMlr.Rd
man/createDummyFeatures.Rd
man/getNestedTuneResultsOptPathDf.Rd
man/calculateROCMeasures.Rd
man/makePreprocWrapperCaret.Rd
man/Prediction.Rd
man/crossover.Rd
man/setLearnerId.Rd
man/removeHyperPars.Rd
man/pid.task.Rd
man/generateCalibrationData.Rd
man/calculateConfusionMatrix.Rd
man/getHomogeneousEnsembleModels.Rd
man/getTaskId.Rd
man/getRRTaskDesc.Rd
man/mlrFamilies.Rd
man/getBMRFeatSelResults.Rd
man/makeMultilabelBinaryRelevanceWrapper.Rd
man/makeUndersampleWrapper.Rd
man/generateCritDifferencesData.Rd
man/TaskDesc.Rd
man/bh.task.Rd
man/selectFeatures.Rd
man/getNestedTuneResultsX.Rd
man/regr.randomForest.Rd
man/parallelization.Rd
LICENSE
mlr documentation built on May 19, 2017, 3:55 p.m.