c(person(given = "Michel",
family = "Lang",
role = c("cre", "aut"),
email = "michellang@gmail.com",
comment = c(ORCID = "0000-0001-9754-0393")),
person(given = "Bernd",
family = "Bischl",
role = "aut",
email = "bernd_bischl@gmx.net",
comment = c(ORCID = "0000-0001-6002-6980")),
person(given = "Jakob",
family = "Richter",
role = "aut",
email = "jakob1richter@gmail.com",
comment = c(ORCID = "0000-0003-4481-5554")),
person(given = "Patrick",
family = "Schratz",
role = "aut",
email = "patrick.schratz@gmail.com",
comment = c(ORCID = "0000-0003-0748-6624")),
person(given = "Giuseppe",
family = "Casalicchio",
role = "ctb",
email = "giuseppe.casalicchio@stat.uni-muenchen.de",
comment = c(ORCID = "0000-0001-5324-5966")),
person(given = "Stefan",
family = "Coors",
role = "ctb",
email = "mail@stefancoors.de",
comment = c(ORCID = "0000-0002-7465-2146")),
person(given = "Quay",
family = "Au",
role = "ctb",
email = "quayau@gmail.com",
comment = c(ORCID = "0000-0002-5252-8902")),
person(given = "Martin",
family = "Binder",
role = "aut",
email = "mlr.developer@mb706.com"),
person(given = "Marc",
family = "Becker",
role = "ctb",
email = "marcbecker@posteo.de",
comment = c(ORCID = "0000-0002-8115-0400")))
Matrix, callr, datasets, distr6, evaluate, future,
future.callr, mlr3data, progressr, rpart, testthat (>= 3.0.0)
'mlr_reflections.R' 'BenchmarkResult.R' 'DataBackend.R'
'DataBackendCbind.R' 'DataBackendDataTable.R'
'DataBackendMatrix.R' 'DataBackendRbind.R'
'DataBackendRename.R' 'Learner.R' 'LearnerClassif.R'
'mlr_learners.R' 'LearnerClassifDebug.R'
'LearnerClassifFeatureless.R' 'LearnerClassifRpart.R'
'LearnerRegr.R' 'LearnerRegrFeatureless.R' 'LearnerRegrRpart.R'
'Measure.R' 'MeasureClassif.R' 'mlr_measures.R'
'MeasureClassifCosts.R' 'MeasureDebug.R' 'MeasureElapsedTime.R'
'MeasureOOBError.R' 'MeasureRegr.R' 'MeasureSelectedFeatures.R'
'MeasureSimple.R' 'Prediction.R' 'PredictionClassif.R'
'PredictionData.R' 'PredictionDataClassif.R'
'PredictionDataRegr.R' 'PredictionRegr.R' 'ResampleResult.R'
'Resampling.R' 'mlr_resamplings.R' 'ResamplingBootstrap.R'
'ResamplingCV.R' 'ResamplingCustom.R' 'ResamplingHoldout.R'
'ResamplingInsample.R' 'ResamplingLOO.R'
'ResamplingRepeatedCV.R' 'ResamplingSubsampling.R'
'ResultData.R' 'Task.R' 'TaskSupervised.R' 'TaskClassif.R'
'mlr_tasks.R' 'TaskClassif_breast_cancer.R'
'TaskClassif_german_credit.R' 'TaskClassif_iris.R'
'TaskClassif_pima.R' 'TaskClassif_sonar.R' 'TaskClassif_spam.R'
'TaskClassif_wine.R' 'TaskClassif_zoo.R' 'TaskGenerator.R'
'mlr_task_generators.R' 'TaskGenerator2DNormals.R'
'TaskGeneratorCassini.R' 'TaskGeneratorCircle.R'
'TaskGeneratorFriedman1.R' 'TaskGeneratorMoons.R'
'TaskGeneratorSimplex.R' 'TaskGeneratorSmiley.R'
'TaskGeneratorSpirals.R' 'TaskGeneratorXor.R' 'TaskRegr.R'
'TaskRegr_boston_housing.R' 'TaskRegr_mtcars.R'
'TaskUnsupervised.R' 'as_data_backend.R' 'assertions.R'
'auto_convert.R' 'benchmark.R' 'benchmark_grid.R'
'bibentries.R' 'default_measures.R' 'fix_factor_levels.R'
'helper.R' 'mlr_coercions.R' 'mlr_sugar.R' 'predict.R'
'reexports.R' 'resample.R' 'task_converters.R' 'worker.R'
'zzz.R'