Last data update: 2014.03.03
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mlr
Package: mlr
Title: Machine Learning in R
Description: 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.
Authors@R: c(person("Bernd", "Bischl", email = "bernd_bischl@gmx.net", role =
c("aut", "cre")), person("Michel", "Lang", email =
"michellang@gmail.com", role = "aut"), person("Jakob", "Richter", email =
"code@jakob-r.de", role = "aut"), person("Jakob", "Bossek",
email = "jakob.bossek@tu-dortmund.de", role = "aut"), person("Leonard",
"Judt", email = "leonard.judt@tu-dortmund.de", role = "aut"),
person("Tobias", "Kuehn", email = "tobi.kuehn@gmx.de", role = "aut"),
person("Erich", "Studerus", email = "erich.studerus@upkbs.ch", role =
"aut"), person("Lars", "Kotthoff", email =
"larsko@cs.ubc.ca", role = "aut"), person("Zachary", "Jones", email =
"zmj@zmjones.com", role = "ctb"), person("Schiffner", "Julia", email =
"schiffner@math.uni-duesseldorf.de", role = "aut"))
URL: https://github.com/mlr-org/mlr
BugReports: https://github.com/mlr-org/mlr/issues
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.0.2), BBmisc (>= 1.9), ggplot2, ParamHelpers (>= 1.7),
stats
Imports: checkmate (>= 1.7.1), ggvis, methods, parallelMap (>= 1.3),
plyr, reshape2, shiny, survival
Suggests: ada, adabag, bartMachine, brnn, bst, care, caret (>= 6.0-57),
class, clue, cluster, clusterSim, clValid, cmaes, CoxBoost,
crs, Cubist, deepnet, DiceKriging, DiceOptim, DiscriMiner,
e1071, earth, elasticnet, elmNN, emoa, extraTrees, flare,
fields, FNN, fpc, frbs, FSelector, gbm, GenSA, glmnet, Hmisc,
irace (>= 1.0.7), kernlab, kknn, klaR, knitr, kohonen, laGP,
LiblineaR, lqa, MASS, mboost, mco, mda, mlbench, modeltools,
mRMRe, nnet, nodeHarvest (>= 0.7-3), neuralnet, numDeriv, pamr,
party, penalized, pls, PMCMR, pROC (>= 1.8), randomForest,
randomForestSRC (>= 2.0.5), ranger (>= 0.3.0), RCurl, rFerns,
rjson, rknn, rmarkdown, robustbase, ROCR, rotationForest,
rpart, rrlda, rsm, RSNNS, RWeka, sda, sparsediscrim, sparseLDA,
stepPlr, SwarmSVM, testthat, tgp, TH.data, xgboost, XML
LazyData: yes
ByteCompile: yes
Version: 2.8
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-02-12 14:47:04 UTC; bischl
Author: Bernd Bischl [aut, cre],
Michel Lang [aut],
Jakob Richter [aut],
Jakob Bossek [aut],
Leonard Judt [aut],
Tobias Kuehn [aut],
Erich Studerus [aut],
Lars Kotthoff [aut],
Zachary Jones [ctb],
Schiffner Julia [aut]
Maintainer: Bernd Bischl <bernd_bischl@gmx.net>
Repository: CRAN
Date/Publication: 2016-02-13 08:37:35
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'mlr' ...
** package 'mlr' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG -I/usr/local/include -fpic -g -O2 -c smote.c -o smote.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o mlr.so smote.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/mlr/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
converting help for package 'mlr'
finding HTML links ... done
Aggregation html
BenchmarkResult html
FailureModel html
FeatSelControl html
FeatSelResult html
LearnerProperties html
Prediction html
RLearner html
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/RLearner.Rd:49: missing file link 'ParamSet'
ResamplePrediction html
ResampleResult html
Task html
TaskDesc html
TuneControl html
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/TuneControl.Rd:141: missing file link 'makeDiscreteParam'
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/TuneControl.Rd:154: missing file link 'irace'
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/TuneControl.Rd:164: missing file link 'irace'
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/TuneControl.Rd:104: missing file link 'irace'
TuneMultiCritControl html
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/TuneMultiCritControl.Rd:91: missing file link 'makeDiscreteParam'
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/TuneMultiCritControl.Rd:75: missing file link 'irace'
TuneMultiCritResult html
TuneResult html
aggregations html
agri.task html
analyzeFeatSelResult html
asROCRPrediction html
bc.task html
benchmark html
bh.task html
capLargeValues html
configureMlr html
convertBMRToRankMatrix html
convertMLBenchObjToTask html
costiris.task html
createDummyFeatures html
crossover html
downsample html
dropFeatures html
estimateRelativeOverfitting html
estimateResidualVariance html
filterFeatures html
friedmanPostHocTestBMR html
friedmanTestBMR html
generateCalibrationData html
generateCritDifferencesData html
generateFilterValuesData html
generateLearningCurveData html
generatePartialPredictionData html
generateThreshVsPerfData html
getBMRAggrPerformances html
getBMRFeatSelResults html
getBMRFilteredFeatures html
getBMRLearnerIds html
getBMRLearnerShortNames html
getBMRLearners html
getBMRMeasureIds html
getBMRMeasures html
getBMRModels html
getBMRPerformances html
getBMRPredictions html
getBMRTaskIds html
getBMRTuneResults html
getCaretParamSet html
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/getCaretParamSet.Rd:40: missing file link 'ParamSet'
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/getCaretParamSet.Rd:32: missing file link 'ParamSet'
getClassWeightParam html
finding level-2 HTML links ... done
getConfMatrix html
getDefaultMeasure html
getFailureModelMsg html
getFeatSelResult html
getFilterValues html
getFilteredFeatures html
getHomogeneousEnsembleModels html
getHyperPars html
getLearnerModel html
getMlrOptions html
getMultilabelBinaryPerformances html
getNestedTuneResultsOptPathDf html
getNestedTuneResultsX html
getParamSet html
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/getParamSet.Rd:15: missing file link 'ParamSet'
getPredictionProbabilities html
getPredictionResponse html
getProbabilities html
getRRPredictions html
getStackedBaseLearnerPredictions html
getTaskClassLevels html
getTaskCosts html
getTaskData html
getTaskDescription html
getTaskFeatureNames html
getTaskFormula html
getTaskId html
getTaskNFeats html
getTaskSize html
getTaskTargetNames html
getTaskTargets html
getTaskType html
getTuneResult html
hasProperties html
imputations html
impute html
iris.task html
isFailureModel html
joinClassLevels html
learnerArgsToControl html
learners html
listFilterMethods html
listLearners html
listMeasures html
lung.task html
makeAggregation html
makeBaggingWrapper html
makeCostMeasure html
makeCostSensClassifWrapper html
makeCostSensRegrWrapper html
makeCostSensWeightedPairsWrapper html
makeCustomResampledMeasure html
makeDownsampleWrapper html
makeFeatSelWrapper html
makeFilter html
makeFilterWrapper html
makeFixedHoldoutInstance html
makeImputeMethod html
makeImputeWrapper html
makeLearner html
makeMeasure html
makeModelMultiplexer html
makeModelMultiplexerParamSet html
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/makeModelMultiplexerParamSet.Rd:13: missing file link 'ParamSet'
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/makeModelMultiplexerParamSet.Rd:26: missing file link 'ParamSet'
makeMulticlassWrapper html
makeMultilabelBinaryRelevanceWrapper html
makeOverBaggingWrapper html
makePreprocWrapper html
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/makePreprocWrapper.Rd:30: missing file link 'ParamSet'
makePreprocWrapperCaret html
makeResampleDesc html
makeResampleInstance html
makeSMOTEWrapper html
makeStackedLearner html
makeTuneWrapper html
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/makeTuneWrapper.Rd:26: missing file link 'ParamSet'
makeUndersampleWrapper html
makeWeightedClassesWrapper html
makeWrappedModel html
measures html
mergeBenchmarkResultLearner html
mergeBenchmarkResultTask html
mergeSmallFactorLevels html
mtcars.task html
normalizeFeatures html
oversample html
performance html
pid.task html
plotBMRBoxplots html
plotBMRRanksAsBarChart html
plotBMRSummary html
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/plotBMRSummary.Rd:42: missing file link 'scale_x_log10'
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/plotBMRSummary.Rd:21: missing file link 'scale_x_log10'
plotCalibration html
plotCritDifferences html
plotFilterValues html
plotFilterValuesGGVIS html
plotLearnerPrediction html
plotLearningCurve html
plotLearningCurveGGVIS html
plotPartialPrediction html
plotPartialPredictionGGVIS html
plotROCCurves html
plotThreshVsPerf html
plotThreshVsPerfGGVIS html
plotTuneMultiCritResult html
plotTuneMultiCritResultGGVIS html
plotViperCharts html
predict.WrappedModel html
predictLearner html
regr.randomForest html
reimpute html
removeConstantFeatures html
removeHyperPars html
resample html
selectFeatures html
setAggregation html
setHyperPars html
setHyperPars2 html
setId html
setPredictThreshold html
setPredictType html
setThreshold html
smote html
sonar.task html
subsetTask html
summarizeColumns html
summarizeLevels html
train html
trainLearner html
tuneParams html
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/tuneParams.Rd:29: missing file link 'ParamSet'
tuneParamsMultiCrit html
Rd warning: /tmp/Rtmplqa3vC/R.INSTALL6b891d935751/mlr/man/tuneParamsMultiCrit.Rd:27: missing file link 'ParamSet'
tuneThreshold html
wpbc.task html
yeast.task html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (mlr)
Making 'packages.html' ... done
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