mlr: Machine Learning in R

Share:

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.

Author
Bernd Bischl [aut, cre], Michel Lang [aut], Lars Kotthoff [aut], Julia Schiffner [aut], Jakob Richter [aut], Zachary Jones [aut], Giuseppe Casalicchio [aut], Jakob Bossek [ctb], Erich Studerus [ctb], Leonard Judt [ctb], Tobias Kuehn [ctb], Pascal Kerschke [ctb], Florian Fendt [ctb]
Date of publication
2016-08-03 18:03:22
Maintainer
Bernd Bischl <bernd_bischl@gmx.net>
License
BSD_2_clause + file LICENSE
Version
2.9
URLs

View on CRAN

Man pages

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.
bc.task
Wisconsin Breast Cancer classification task.
benchmark
Benchmark experiment for multiple learners and tasks.
BenchmarkResult
BenchmarkResult object.
bh.task
Boston Housing regression task.
capLargeValues
Convert large/infinite numeric values in a data.frame or...
configureMlr
Configures the behavior of the package.
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.
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.
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.
getFailureModelMsg
Return error message of FailureModel.
getFeatSelResult
Returns the selected feature set and optimization path after...
getFilteredFeatures
Returns the filtered features.
getFilterValues
Calculates feature filter values.
getHomogeneousEnsembleModels
Deprecated, use 'getLearnerModel' instead.
getHyperPars
Get current parameter settings for a learner.
getLearnerModel
Get underlying R model of learner integrated into mlr.
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.
getParamSet
Get a description of all possible parameter settings for a...
getPredictionProbabilities
Get probabilities for some classes.
getPredictionResponse
Get response / truth from prediction object.
getProbabilities
Deprecated, use 'getPredictionProbabilities' instead.
getRRPredictions
Get predictions from resample results.
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.
getTaskDescription
Get a summarizing task description.
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.
listLearners
Find matching learning algorithms.
listMeasures
Find matching measures.
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).
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.
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.
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.
measures
Performance measures.
mergeBenchmarkResultLearner
Merge different learners of BenchmarkResult objects.
mergeBenchmarkResultTask
Merge different tasks of BenchmarkResult objects.
mergeSmallFactorLevels
Merges small levels of factors into new level.
mtcars.task
Motor Trend Car Road Tests clustering task.
normalizeFeatures
Normalize features.
oversample
Over- or undersample binary classification task to handle...
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.
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.
regr.randomForest
regression using randomForest.
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.
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.
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
Create control structures 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.

Files in this package

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