{ "_id": "6a2afdb37b7a29ca6005998c", "Package": "mlr3", "Title": "Machine Learning in R - Next Generation", "Version": "1.7.1", "Authors@R": "c(\nperson(\"Michel\", \"Lang\", , \"michellang@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-9754-0393\")),\nperson(\"Bernd\", \"Bischl\", , \"bernd_bischl@gmx.net\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-6002-6980\")),\nperson(\"Jakob\", \"Richter\", , \"jakob1richter@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-4481-5554\")),\nperson(\"Patrick\", \"Schratz\", , \"patrick.schratz@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-0748-6624\")),\nperson(\"Giuseppe\", \"Casalicchio\", , \"giuseppe.casalicchio@stat.uni-muenchen.de\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0001-5324-5966\")),\nperson(\"Stefan\", \"Coors\", , \"mail@stefancoors.de\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0002-7465-2146\")),\nperson(\"Quay\", \"Au\", , \"quayau@gmail.com\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0002-5252-8902\")),\nperson(\"Martin\", \"Binder\", , \"mlr.developer@mb706.com\", role = \"aut\"),\nperson(\"Florian\", \"Pfisterer\", , \"pfistererf@googlemail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-8867-762X\")),\nperson(\"Raphael\", \"Sonabend\", , \"raphaelsonabend@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-9225-4654\")),\nperson(\"Lennart\", \"Schneider\", , \"lennart.sch@web.de\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0003-4152-5308\")),\nperson(\"Marc\", \"Becker\", , \"marcbecker@posteo.de\", role = c(\"cre\", \"aut\"),\ncomment = c(ORCID = \"0000-0002-8115-0400\")),\nperson(\"Sebastian\", \"Fischer\", , \"sebf.fischer@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-9609-3197\")),\nperson(\"Lona\", \"Koers\", , \"lona.koers@gmail.com\", role = \"ctb\"),\nperson(\"John\", \"Zobolas\", , \"bblodfon@gmail.com\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0002-3609-8674\")),\nperson(\"Maximilian\", \"Mücke\", , \"muecke.maximilian@gmail.com\", role = \"ctb\",\ncomment = c(ORCID = \"0009-0000-9432-9795\")),\nperson(\"Keno\", \"Mersmann\", , \"keno.mersmann@gmail.com\", role = \"ctb\")\n)", "Description": "Efficient, object-oriented programming on the building\nblocks of machine learning. Provides 'R6' objects for tasks,\nlearners, resamplings, and measures. The package is geared\ntowards scalability and larger datasets by supporting\nparallelization and out-of-memory data-backends like databases.\nWhile 'mlr3' focuses on the core computational operations,\nadd-on packages provide additional functionality.", "License": "LGPL-3", "URL": "https://mlr3.mlr-org.com, https://github.com/mlr-org/mlr3", "BugReports": "https://github.com/mlr-org/mlr3/issues", "Encoding": "UTF-8", "Config/testthat/edition": "3", "Config/testthat/parallel": "false", "NeedsCompilation": "no", "Roxygen": "list(markdown = TRUE, r6 = TRUE)", "Collate": "'mlr_reflections.R' 'BenchmarkResult.R' 'CallbackResample.R'\n'ContextResample.R' 'warn_deprecated.R' 'DataBackend.R'\n'DataBackendCbind.R' 'DataBackendDataTable.R'\n'DataBackendRbind.R' 'DataBackendRename.R' 'HotstartStack.R'\n'Learner.R' 'LearnerClassif.R' 'mlr_learners.R'\n'LearnerClassifDebug.R' 'LearnerClassifFeatureless.R'\n'LearnerClassifRpart.R' 'LearnerRegr.R' 'LearnerRegrDebug.R'\n'LearnerRegrFeatureless.R' 'LearnerRegrRpart.R' 'Measure.R'\n'mlr_measures.R' 'MeasureAIC.R' 'MeasureBIC.R'\n'MeasureClassif.R' 'MeasureClassifCosts.R' 'MeasureDebug.R'\n'MeasureElapsedTime.R' 'MeasureInternalValidScore.R'\n'MeasureOOBError.R' 'MeasureRegr.R' 'MeasureRegrPinball.R'\n'MeasureRegrRQR.R' 'MeasureRegrRSQ.R'\n'MeasureSelectedFeatures.R' 'MeasureSimilarity.R'\n'MeasureSimple.R' 'Prediction.R' 'PredictionClassif.R'\n'PredictionData.R' 'PredictionDataClassif.R'\n'PredictionDataRegr.R' 'PredictionRegr.R' 'ResampleResult.R'\n'Resampling.R' 'mlr_resamplings.R' 'ResamplingBootstrap.R'\n'ResamplingCV.R' 'ResamplingCustom.R' 'ResamplingCustomCV.R'\n'ResamplingHoldout.R' 'ResamplingInsample.R' 'ResamplingLOO.R'\n'ResamplingRepeatedCV.R' 'ResamplingSubsampling.R'\n'ResultData.R' 'Task.R' 'TaskSupervised.R' 'TaskClassif.R'\n'mlr_tasks.R' 'TaskClassif_breast_cancer.R'\n'TaskClassif_german_credit.R' 'TaskClassif_iris.R'\n'TaskClassif_penguins.R' 'TaskClassif_pima.R'\n'TaskClassif_sonar.R' 'TaskClassif_spam.R' 'TaskClassif_wine.R'\n'TaskClassif_zoo.R' 'TaskGenerator.R' 'mlr_task_generators.R'\n'TaskGenerator2DNormals.R' 'TaskGeneratorCassini.R'\n'TaskGeneratorCircle.R' 'TaskGeneratorFriedman1.R'\n'TaskGeneratorMoons.R' 'TaskGeneratorPeak.R'\n'TaskGeneratorSimplex.R' 'TaskGeneratorSmiley.R'\n'TaskGeneratorSpirals.R' 'TaskGeneratorXor.R' 'TaskRegr.R'\n'TaskRegr_california_housing.R' 'TaskRegr_mtcars.R'\n'TaskUnsupervised.R' 'as_benchmark_result.R'\n'as_data_backend.R' 'as_learner.R' 'as_measure.R'\n'as_prediction.R' 'as_prediction_classif.R'\n'as_prediction_data.R' 'as_prediction_regr.R'\n'as_resample_result.R' 'as_resampling.R' 'as_result_data.R'\n'as_task.R' 'as_task_classif.R' 'as_task_regr.R'\n'as_task_unsupervised.R' 'assertions.R' 'auto_convert.R'\n'benchmark.R' 'benchmark_grid.R' 'bibentries.R'\n'default_fallback.R' 'default_measures.R' 'fix_factor_levels.R'\n'helper.R' 'helper_data_table.R' 'helper_exec.R'\n'helper_hashes.R' 'install_pkgs.R' 'marshal.R'\n'mlr_callbacks.R' 'mlr_sugar.R' 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