mlr: Machine Learning in R

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.

Install the latest version of this package by entering the following in R:
install.packages("mlr")
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
https://github.com/mlr-org/mlr

View on CRAN

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

acc Man page
addRRMeasure Man page
Aggregation Man page
aggregations Man page
agri.task Man page
analyzeFeatSelResult Man page
arsq Man page
asROCRPrediction Man page
auc Man page
b632 Man page
b632plus Man page
bac Man page
batchmark Man page
bc.task Man page
benchmark Man page
BenchmarkResult Man page
ber Man page
bh.task Man page
bootstrapB632 Man page
bootstrapB632plus Man page
bootstrapOOB Man page
brier Man page
brier.scaled Man page
calculateConfusionMatrix Man page
calculateROCMeasures Man page
CalibrationData Man page
capLargeValues Man page
cindex Man page
classif.featureless Man page
ClassifTask Man page
ClusterTask Man page
configureMlr Man page
ConfusionMatrix Man page
convertBMRToRankMatrix Man page
convertMLBenchObjToTask Man page
costiris.task Man page
CostSensClassifModel Man page
CostSensClassifWrapper Man page
CostSensRegrModel Man page
CostSensRegrWrapper Man page
CostSensTask Man page
CostSensWeightedPairsModel Man page
CostSensWeightedPairsWrapper Man page
createDummyFeatures Man page
crossover Man page
crossval Man page
cv10 Man page
cv2 Man page
cv3 Man page
cv5 Man page
db Man page
downsample Man page
dropFeatures Man page
dunn Man page
estimateRelativeOverfitting Man page
estimateRelativeOverfitting.ResampleDesc Man page
estimateResidualVariance Man page
expvar Man page
f1 Man page
FailureModel Man page
fdr Man page
featperc Man page
FeatSelControl Man page
FeatSelControlExhaustive Man page
FeatSelControlGA Man page
FeatSelControlRandom Man page
FeatSelControlSequential Man page
FeatSelResult Man page
FeatureImportanceData Man page
filterFeatures Man page
FilterValues Man page
fn Man page
fnr Man page
fp Man page
fpr Man page
friedmanPostHocTestBMR Man page
friedmanTestBMR Man page
FunctionalANOVAData Man page
G1 Man page
G2 Man page
generateCalibrationData Man page
generateCritDifferencesData Man page
generateFeatureImportanceData Man page
generateFilterValuesData Man page
generateFunctionalANOVAData Man page
generateHyperParsEffectData Man page
generateLearningCurveData Man page
generatePartialDependenceData Man page
generateThreshVsPerfData Man page
getBMRAggrPerformances Man page
getBMRFeatSelResults Man page
getBMRFilteredFeatures Man page
getBMRLearnerIds Man page
getBMRLearners Man page
getBMRLearnerShortNames Man page
getBMRMeasureIds Man page
getBMRMeasures Man page
getBMRModels Man page
getBMRPerformances Man page
getBMRPredictions Man page
getBMRTaskDescriptions Man page
getBMRTaskDescs Man page
getBMRTaskIds Man page
getBMRTuneResults Man page
getCaretParamSet Man page
getClassWeightParam Man page
getConfMatrix Man page
getDefaultMeasure Man page
getFailureModelDump Man page
getFailureModelMsg Man page
getFeatSelResult Man page
getFeatureImportance Man page
getFeatureImportanceLearner Man page
getFeatureImportanceLearner.regr.randomForestSRC Man page
getFilteredFeatures Man page
getFilterValues Man page
getHomogeneousEnsembleModels Man page
getHyperPars Man page
getLearnerId Man page
getLearnerModel Man page
getLearnerPackages Man page
getLearnerParamSet Man page
getLearnerParVals Man page
getLearnerPredictType Man page
getLearnerProperties Man page
getLearnerShortName Man page
getLearnerType Man page
getMeasureProperties Man page
getMlrOptions Man page
getMultilabelBinaryPerformances Man page
getNestedTuneResultsOptPathDf Man page
getNestedTuneResultsX Man page
getOOBPreds Man page
getOOBPredsLearner Man page
getParamSet Man page
getPredictionDump Man page
getPredictionProbabilities Man page
getPredictionResponse Man page
getPredictionSE Man page
getPredictionTruth Man page
getProbabilities Man page
getRRDump Man page
getRRPredictionList Man page
getRRPredictions Man page
getRRTaskDesc Man page
getRRTaskDescription Man page
getStackedBaseLearnerPredictions Man page
getTaskClassLevels Man page
getTaskCosts Man page
getTaskData Man page
getTaskDesc Man page
getTaskDescription Man page
getTaskFeatureNames Man page
getTaskFormula Man page
getTaskId Man page
getTaskNFeats Man page
getTaskSize Man page
getTaskTargetNames Man page
getTaskTargets Man page
getTaskType Man page
getTuneResult Man page
gmean Man page
gpr Man page
hasLearnerProperties Man page
hasMeasureProperties Man page
hasProperties Man page
holdout Man page
hout Man page
imputations Man page
impute Man page
imputeConstant Man page
imputeHist Man page
imputeLearner Man page
imputeMax Man page
imputeMean Man page
imputeMedian Man page
imputeMin Man page
imputeMode Man page
imputeNormal Man page
imputeUniform Man page
iris.task Man page
isFailureModel Man page
joinClassLevels Man page
kappa Man page
kendalltau Man page
Learner Man page
learnerArgsToControl Man page
LearnerProperties Man page
learners Man page
LearningCurveData Man page
listFilterMethods Man page
listLearnerProperties Man page
listLearners Man page
listLearners.character Man page
listLearners.default Man page
listLearners.Task Man page
listMeasureProperties Man page
listMeasures Man page
listMeasures.character Man page
listMeasures.default Man page
listMeasures.Task Man page
listTaskTypes Man page
logloss Man page
lsr Man page
lung.task Man page
mae Man page
makeAggregation Man page
makeBaggingWrapper Man page
makeClassifTask Man page
makeClusterTask Man page
makeConstantClassWrapper Man page
makeCostMeasure Man page
makeCostSensClassifWrapper Man page
makeCostSensRegrWrapper Man page
makeCostSensTask Man page
makeCostSensWeightedPairsWrapper Man page
makeCustomResampledMeasure Man page
makeDownsampleWrapper Man page
makeDummyFeaturesWrapper Man page
makeFeatSelControlExhaustive Man page
makeFeatSelControlGA Man page
makeFeatSelControlRandom Man page
makeFeatSelControlSequential Man page
makeFeatSelWrapper Man page
makeFilter Man page
makeFilterWrapper Man page
makeFixedHoldoutInstance Man page
makeImputeMethod Man page
makeImputeWrapper Man page
makeLearner Man page
makeLearners Man page
makeMeasure Man page
makeModelMultiplexer Man page
makeModelMultiplexerParamSet Man page
makeMulticlassWrapper Man page
makeMultilabelBinaryRelevanceWrapper Man page
makeMultilabelClassifierChainsWrapper Man page
makeMultilabelDBRWrapper Man page
makeMultilabelNestedStackingWrapper Man page
makeMultilabelStackingWrapper Man page
makeMultilabelTask Man page
makeOverBaggingWrapper Man page
makeOversampleWrapper Man page
makePrediction Man page
makePreprocWrapper Man page
makePreprocWrapperCaret Man page
makeRegrTask Man page
makeRemoveConstantFeaturesWrapper Man page
makeResampleDesc Man page
makeResampleInstance Man page
makeRLearner Man page
makeRLearnerClassif Man page
makeRLearnerCluster Man page
makeRLearnerCostSens Man page
makeRLearnerMultilabel Man page
makeRLearnerRegr Man page
makeRLearnerSurv Man page
makeSMOTEWrapper Man page
makeStackedLearner Man page
makeSurvTask Man page
makeTuneControlCMAES Man page
makeTuneControlDesign Man page
makeTuneControlGenSA Man page
makeTuneControlGrid Man page
makeTuneControlIrace Man page
makeTuneControlMBO Man page
makeTuneControlRandom Man page
makeTuneMultiCritControlGrid Man page
makeTuneMultiCritControlNSGA2 Man page
makeTuneMultiCritControlRandom Man page
makeTuneWrapper Man page
makeUndersampleWrapper Man page
makeWeightedClassesWrapper Man page
makeWrappedModel Man page
mape Man page
mcc Man page
mcp Man page
meancosts Man page
Measure Man page
measureACC Man page
measureAU1P Man page
measureAU1U Man page
measureAUC Man page
measureAUNP Man page
measureAUNU Man page
measureBAC Man page
measureBrier Man page
measureBrierScaled Man page
measureEXPVAR Man page
measureFDR Man page
measureFN Man page
measureFNR Man page
measureFP Man page
measureFPR Man page
measureGMEAN Man page
measureGPR Man page
measureKAPPA Man page
measureKendallTau Man page
measureLogloss Man page
measureLSR Man page
measureMAE Man page
measureMAPE Man page
measureMCC Man page
measureMEDAE Man page
measureMEDSE Man page
measureMMCE Man page
measureMSE Man page
measureMSLE Man page
measureMulticlassBrier Man page
measureMultilabelACC Man page
measureMultiLabelF1 Man page
measureMultilabelHamloss Man page
measureMultilabelPPV Man page
measureMultilabelSubset01 Man page
measureMultilabelTPR Man page
measureNPV Man page
measurePPV Man page
MeasureProperties Man page
measureQSR Man page
measureRAE Man page
measureRMSE Man page
measureRRSE Man page
measureRSQ Man page
measures Man page
measureSAE Man page
measureSpearmanRho Man page
measureSSE Man page
measureSSR Man page
measureTN Man page
measureTNR Man page
measureTP Man page
measureTPR Man page
measureWKAPPA Man page
medae Man page
medse Man page
mergeBenchmarkResults Man page
mergeSmallFactorLevels Man page
mlrFamilies Man page
mmce Man page
ModelMultiplexer Man page
mse Man page
msle Man page
mtcars.task Man page
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
MultilabelTask Man page
multilabel.tpr Man page
normalizeFeatures Man page
npv Man page
oversample Man page
parallelization Man page
PartialDependenceData Man page
performance Man page
pid.task Man page
plotBMRBoxplots Man page
plotBMRRanksAsBarChart Man page
plotBMRSummary Man page
plotCalibration Man page
plotCritDifferences Man page
plotFilterValues Man page
plotFilterValuesGGVIS Man page
plotHyperParsEffect Man page
plotLearnerPrediction Man page
plotLearningCurve Man page
plotLearningCurveGGVIS Man page
plotPartialDependence Man page
plotPartialDependenceGGVIS Man page
plotResiduals Man page
plotROCCurves Man page
plotThreshVsPerf Man page
plotThreshVsPerfGGVIS Man page
plotTuneMultiCritResult Man page
plotTuneMultiCritResultGGVIS Man page
plotViperCharts Man page
ppv Man page
Prediction Man page
predictLearner Man page
predict.WrappedModel Man page
print.ConfusionMatrix Man page
print.ROCMeasures Man page
qsr Man page
rae Man page
reduceBatchmarkResults Man page
regr.featureless Man page
regr.randomForest Man page
RegrTask Man page
reimpute Man page
removeConstantFeatures Man page
removeHyperPars Man page
repcv Man page
resample Man page
ResampleDesc Man page
ResampleInstance Man page
ResamplePrediction Man page
ResampleResult Man page
rf.importance Man page
rf.min.depth Man page
RLearner Man page
RLearnerClassif Man page
RLearnerCluster Man page
RLearnerMultilabel Man page
RLearnerRegr Man page
RLearnerSurv Man page
rmse Man page
rmsle Man page
rrse Man page
rsq Man page
sae Man page
selectFeatures Man page
setAggregation Man page
setHyperPars Man page
setHyperPars2 Man page
setId Man page
setLearnerId Man page
setPredictThreshold Man page
setPredictType Man page
setThreshold Man page
silhouette Man page
simplifyMeasureNames Man page
smote Man page
sonar.task Man page
spearmanrho Man page
sse Man page
ssr Man page
subsample Man page
subsetTask Man page
summarizeColumns Man page
summarizeLevels Man page
SurvTask Man page
Task Man page
TaskDesc Man page
testgroup.mean Man page
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
ThreshVsPerfData 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
trainLearner Man page
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
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
tuneParams Man page
tuneParamsMultiCrit Man page
TuneResult Man page
tuneThreshold Man page
undersample Man page
univariate Man page
wkappa Man page
wpbc.task Man page
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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
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src/smote.c
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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

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