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.

AuthorBernd 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 publication2016-08-03 18:03:22
MaintainerBernd Bischl <bernd_bischl@gmx.net>
LicenseBSD_2_clause + file LICENSE
Version2.9
https://github.com/mlr-org/mlr

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
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