* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘mlr’ ...
** package ‘mlr’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C compiler: ‘gcc-13 (Debian 13.2.0-13) 13.2.0’
make[1]: Entering directory '/tmp/RtmpnGpO7w/R.INSTALL3286bb73afba44/mlr/src'
gcc-13 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o
gcc-13 -I"/home/hornik/tmp/R.check/r-patched-gcc/Work/build/include" -DNDEBUG -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c smote.c -o smote.o
gcc-13 -shared -L/home/hornik/tmp/R.check/r-patched-gcc/Work/build/lib -Wl,-O1 -o mlr.so init.o smote.o -L/home/hornik/tmp/R.check/r-patched-gcc/Work/build/lib -lR
make[1]: Leaving directory '/tmp/RtmpnGpO7w/R.INSTALL3286bb73afba44/mlr/src'
make[1]: Entering directory '/tmp/RtmpnGpO7w/R.INSTALL3286bb73afba44/mlr/src'
make[1]: Leaving directory '/tmp/RtmpnGpO7w/R.INSTALL3286bb73afba44/mlr/src'
installing to /home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages/00LOCK-mlr/00new/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
ClassifTask html
ClusterTask html
ConfusionMatrix html
CostSensTask html
FailureModel html
FeatSelControl html
FeatSelResult html
LearnerProperties html
MeasureProperties html
MultilabelTask html
Prediction html
RLearner html
RegrTask html
ResamplePrediction html
ResampleResult html
SurvTask html
Task html
TaskDesc html
TuneControl html
TuneMultiCritControl html
finding level-2 HTML links ... done
TuneMultiCritResult html
TuneResult html
addRRMeasure html
aggregations html
agri.task html
analyzeFeatSelResult html
asROCRPrediction html
batchmark html
bc.task html
benchmark html
bh.task html
cache_helpers html
calculateConfusionMatrix html
calculateROCMeasures html
capLargeValues html
changeData html
checkLearner html
checkPredictLearnerOutput html
configureMlr html
convertBMRToRankMatrix html
convertMLBenchObjToTask html
costiris.task html
createDummyFeatures html
createSpatialResamplingPlots html
crossover html
downsample html
dropFeatures html
estimateRelativeOverfitting html
estimateResidualVariance html
extractFDABsignal html
extractFDADTWKernel html
extractFDAFPCA html
extractFDAFeatures html
extractFDAFourier html
extractFDAMultiResFeatures html
extractFDATsfeatures html
extractFDAWavelets html
filterFeatures html
friedmanPostHocTestBMR html
friedmanTestBMR html
fuelsubset.task html
generateCalibrationData html
generateCritDifferencesData html
generateFeatureImportanceData html
generateFilterValuesData html
generateHyperParsEffectData html
generateLearningCurveData html
generatePartialDependenceData 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
getBMRTaskDescriptions html
getBMRTaskDescs html
getBMRTaskIds html
getBMRTuneResults html
getCaretParamSet html
getClassWeightParam html
getConfMatrix html
getDefaultMeasure html
getFailureModelDump html
getFailureModelMsg html
getFeatSelResult html
getFeatureImportance html
getFeatureImportanceLearner html
getFilteredFeatures html
getFunctionalFeatures html
getHomogeneousEnsembleModels html
getHyperPars html
getLearnerId html
getLearnerModel html
getLearnerNote html
getLearnerPackages html
getLearnerParVals html
getLearnerParamSet html
getLearnerPredictType html
getLearnerShortName html
getLearnerType html
getMlrOptions html
getMultilabelBinaryPerformances html
getNestedTuneResultsOptPathDf html
getNestedTuneResultsX html
getOOBPreds html
getOOBPredsLearner html
getParamSet html
getPredictionDump html
getPredictionProbabilities html
getPredictionResponse html
getPredictionTaskDesc html
getProbabilities html
getRRDump html
getRRPredictionList html
getRRPredictions html
getRRTaskDesc html
getRRTaskDescription html
getResamplingIndices html
getStackedBaseLearnerPredictions html
getTaskClassLevels html
getTaskCosts html
getTaskData html
getTaskDesc html
getTaskDescription html
getTaskFeatureNames html
getTaskFormula html
getTaskId html
getTaskNFeats html
getTaskSize html
getTaskTargetNames html
getTaskTargets html
getTaskType html
getTuneResult html
getTuneResultOptPath html
gunpoint.task html
hasFunctionalFeatures html
hasProperties html
helpLearner html
helpLearnerParam html
imputations html
impute html
iris.task html
isFailureModel html
joinClassLevels html
learnerArgsToControl html
learners html
listFilterEnsembleMethods html
listFilterMethods html
listLearnerProperties html
listLearners html
listMeasureProperties html
listMeasures html
listTaskTypes html
lung.task html
makeAggregation html
makeBaggingWrapper html
makeBaseWrapper html
makeChainModel html
makeClassificationViaRegressionWrapper
html
makeConstantClassWrapper html
makeCostMeasure html
makeCostSensClassifWrapper html
makeCostSensRegrWrapper html
makeCostSensWeightedPairsWrapper html
makeCustomResampledMeasure html
makeDownsampleWrapper html
makeDummyFeaturesWrapper html
makeExtractFDAFeatMethod html
makeExtractFDAFeatsWrapper html
makeFeatSelWrapper html
makeFilter html
makeFilterEnsemble html
makeFilterWrapper html
makeFixedHoldoutInstance html
makeFunctionalData html
makeImputeMethod html
makeImputeWrapper html
makeLearner html
makeLearners html
makeMeasure html
makeModelMultiplexer html
makeModelMultiplexerParamSet html
makeMulticlassWrapper html
makeMultilabelBinaryRelevanceWrapper html
makeMultilabelClassifierChainsWrapper html
makeMultilabelDBRWrapper html
makeMultilabelNestedStackingWrapper html
makeMultilabelStackingWrapper html
makeOverBaggingWrapper html
makePreprocWrapper html
makePreprocWrapperCaret html
makeRLearner.classif.fdausc.glm html
makeRLearner.classif.fdausc.kernel html
makeRLearner.classif.fdausc.np html
makeRemoveConstantFeaturesWrapper html
makeResampleDesc html
makeResampleInstance html
makeSMOTEWrapper html
makeStackedLearner html
makeTaskDesc html
makeTaskDescInternal html
makeTuneControlCMAES html
makeTuneControlDesign html
makeTuneControlGenSA html
makeTuneControlGrid html
makeTuneControlIrace html
makeTuneControlMBO html
makeTuneControlRandom html
makeTuneWrapper html
makeUndersampleWrapper html
makeWeightedClassesWrapper html
makeWrappedModel html
measures html
mergeBenchmarkResults html
mergeSmallFactorLevels html
mlr-package html
mlrFamilies html
mtcars.task html
normalizeFeatures html
oversample html
parallelization html
performance html
phoneme.task html
pid.task html
plotBMRBoxplots html
plotBMRRanksAsBarChart html
plotBMRSummary html
plotCalibration html
plotCritDifferences html
plotFilterValues html
plotHyperParsEffect html
plotLearnerPrediction html
plotLearningCurve html
plotPartialDependence html
plotROCCurves html
plotResiduals html
plotThreshVsPerf html
plotTuneMultiCritResult html
predict.WrappedModel html
predictLearner html
reduceBatchmarkResults html
reextractFDAFeatures html
reimpute html
removeConstantFeatures html
removeHyperPars html
resample html
selectFeatures html
setAggregation html
setHyperPars html
setHyperPars2 html
setId html
setLearnerId html
setMeasurePars html
setPredictThreshold html
setPredictType html
setThreshold html
simplifyMeasureNames html
smote html
sonar.task html
spam.task html
spatial.task html
subsetTask html
summarizeColumns html
summarizeLevels html
train html
trainLearner html
tuneParams html
tuneParamsMultiCrit html
tuneThreshold html
wpbc.task html
yeast.task html
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (mlr)