mlr: Machine Learning in R

Documentation for package ‘mlr’ version 0.3.2194

DESCRIPTION file.

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A B C E F G I L M N O P R S T U V W misc

-- A --

acc	Performance measures.
Aggregation	A aggregation method reduces the performance values of the test (and possibly the training sets) to a single...
Aggregation-class	A aggregation method reduces the performance values of the test (and possibly the training sets) to a single...
aggregations	Aggregation methods.
as.data.frame	Prediction.
as.data.frame-method	Prediction.
as.list	Optimization path
as.list	Prediction from resampling.
as.list-method	Optimization path
as.list-method	Prediction from resampling.
as.ROCR.prediction	Convert to ROCR format.
as.ROCR.prediction-method	Convert to ROCR format.
as.ROCR.prediction-methods	Convert to ROCR format.
auc	Performance measures.

-- B --

b632	Aggregation methods.
b632plus	Aggregation methods.
BaseWrapper	Abstract base class to wrap something around a learner.
BaseWrapper-class	Abstract base class to wrap something around a learner.
ber	Performance measures.

-- C --

ClassifTask	Classification task.
ClassifTask-class	Classification task.

-- E --

errorhandler.setup

Errorhandler setup.

-- F --

f1	Performance measures.
fdr	Performance measures.
fn	Performance measures.
fnr	Performance measures.
fp	Performance measures.
fpr	Performance measures.

-- G --

getClassLevels	Get class levels of task.
getClassLevels-method	Get class levels of task.
getClassLevels-methods	Get class levels of task.
getConfMatrix	Confusion matrix.
getConfMatrix-method	Confusion matrix.
getConfMatrix-methods	Confusion matrix.
getData	Extract data in task.
getFeatureNames	Get feature names of task.
getFeatureNames-method	Get feature names of task.
getFeatureNames-methods	Get feature names of task.
getFormula	Get formula of a task.
getFormula-method	Get formula of a task.
getFormula-methods	Get formula of a task.
getHyperPars	getHyperPars,BaseWrapper,character-method
getHyperPars-method	getHyperPars,BaseWrapper,character-method
getHyperPars-methods	getHyperPars,BaseWrapper,character-method
getLearners	Find matching learning algorithms.
getLearners-method	Find matching learning algorithms.
getLearners-methods	Find matching learning algorithms.
getParameterSet	getParameterSet,BaseWrapper-method
getParameterSet-method	getParameterSet,BaseWrapper-method
getParameterSet-methods	getParameterSet,BaseWrapper-method
getProperty	Get property of learner object.
getProperty-method	Get property of learner object.
getProperty-methods	Get property of learner object.
getScore	Get probabilities or decision values for some classes.
getScore-method	Get probabilities or decision values for some classes.
getScore-methods	Get probabilities or decision values for some classes.
getTargets	Get target column of task.
getTargets-method	Get target column of task.
getTargets-methods	Get target column of task.
gmean	Performance measures.
gpr	Performance measures.

-- I --

isFeasible	isFeasible,ParameterSet,list-method
isFeasible-method	isFeasible,ParameterSet,list-method
isFeasible-methods	isFeasible,ParameterSet,list-method
iters	Get number of iterations in resampling.
iters-method	Get number of iterations in resampling.
iters-methods	Get number of iterations in resampling.

-- L --

Learner	Base class for inducers.
Learner-class	Base class for inducers.
learnerArgsToControl	Split arguments into 'control' and 'other' arguments.
LearnerParameter	Description class for a hyperparameter.
LearnerParameter-class	Description class for a hyperparameter.
learners	Implemented inducers.
LearnTask	Base class for learning tasks.
LearnTask-class	Base class for learning tasks.
lower	Get lower bounds.
lower-method	Get lower bounds.
lower-methods	Get lower bounds.

-- M --

mae	Performance measures.
makeClassifTask	Construct learning task.
makeClassifTask-method	Construct learning task.
makeClassifTask-methods	Construct learning task.
makeDiscreteLearnerParameter	Numerical parameter for a learner.
makeDiscreteParameter	Discrete variable for optimization.
makeFunctionLearnerParameter	Function parameter for a learner.
makeFunctionParameter	Function variable for optimization.
makeIntegerLearnerParameter	Integer parameter for a learner.
makeIntegerParameter	Integer variable for optimization.
makeIntegerVectorLearnerParameter	Integer vector parameter for a learner.
makeIntegerVectorParameter	Numeric vector variable for optimization.
makeLearner	Create learner object.
makeLogicalLearnerParameter	Logical parameter for a learner.
makeLogicalParameter	Boolean variable for optimization.
makeMeasure	Construct your own performance measure.
makeMeasure-method	Construct your own performance measure.
makeMeasure-methods	Construct your own performance measure.
makeNumericLearnerParameter	Numerical parameter for a learner.
makeNumericParameter	Numerical variable for optimization.
makeNumericVectorLearnerParameter	Numerical vector parameter for a learner.
makeNumericVectorParameter	Numeric vector variable for optimization.
makeParameterSet	Construct a ParameterSet from a bunch of Parameter objects.
makeRegrTask	Construct learning task.
makeRegrTask-method	Construct learning task.
makeRegrTask-methods	Construct learning task.
makeResampleDesc	Construct resampling description.
makeResampleDesc-method	Construct resampling description.
makeResampleDesc-methods	Construct resampling description.
makeResampleInstance	Construct resampling instance
makeResampleInstance-method	Construct resampling instance
makeResampleInstance-methods	Construct resampling instance
makeUntypedLearnerParameter	Untyped parameter for a learner.
makeUntypedParameter	Untyped variable for optimization.
makeWrappedModel	Only for internal use.
makeWrappedModel-method	Only for internal use.
makeWrappedModel-methods	Only for internal use.
mcc	Performance measures.
Measure	Class for performance measures.
Measure-class	Class for performance measures.
measures	Performance measures.
medae	Performance measures.
medse	Performance measures.
mmce	Performance measures.
mse	Performance measures.

-- N --

npv	Performance measures.
nvars	Performance measures.

-- O --

object	Base class for everything.
object-class	Base class for everything.

-- P --

parallel.setup	Parallelization setup.
Parameter	Description class for an optimization parameter.
Parameter-class	Description class for an optimization parameter.
ParameterSet	Optimization path
ParameterSet-class	Optimization path
performance	Measure performance.
performance-method	Measure performance.
performance-methods	Measure performance.
plot-method	Plot method for performance objects
ppv	Performance measures.
predict	Predict new data.
predict-method	Predict new data.
Prediction	Prediction.
Prediction-class	Prediction.
predictLearner	predictLearner,BaseWrapper,WrappedModel,data.frame,ANY-method
predictLearner-method	predictLearner,BaseWrapper,WrappedModel,data.frame,ANY-method
predictLearner-methods	predictLearner,BaseWrapper,WrappedModel,data.frame,ANY-method
print	Base class for everything.
print-method	Base class for everything.

-- R --

RegrTask	Regression task.
RegrTask-class	Regression task.
resample	Fit models according to a resampling strategy.
resample-method	Fit models according to a resampling strategy.
resample-methods	Fit models according to a resampling strategy.
ResampleDesc	Base class for description of resampling algorithms.
ResampleDesc-class	Base class for description of resampling algorithms.
ResampleInstance	Resampling instance.
ResampleInstance-class	Resampling instance.
ResamplePrediction	Prediction from resampling.
ResamplePrediction-class	Prediction from resampling.
rlearner	Base class for inducers.
rlearner-class	Base class for inducers.
rlearner.classif	Base class for classification learners.
rlearner.classif-class	Base class for classification learners.
rlearner.regr	Base class for regression learners.
rlearner.regr-class	Base class for regression learners.
ROCR.performance	Function to create performance objects
ROCR.performance-class	Class "ROCR.performance"
ROCR.plot-methods	Plot method for performance objects
ROCR.plot.performance	Plot method for performance objects
ROCR.prediction	Function to create prediction objects
ROCR.prediction-class	Class "ROCR.prediction"

-- S --

sae	Performance measures.
setAggregation	Set aggregation function of measure.
setAggregation-method	Set aggregation function of measure.
setAggregation-methods	Set aggregation function of measure.
setHyperPars	setHyperPars,BaseWrapper,list-method
setHyperPars-method	setHyperPars,BaseWrapper,list-method
setHyperPars-methods	setHyperPars,BaseWrapper,list-method
setId	Set id of learner object.
setId-method	Set id of learner object.
setId-methods	Set id of learner object.
setPredictType	Set predict type of learner object.
setPredictType-method	Set predict type of learner object.
setPredictType-methods	Set predict type of learner object.
setProperties	Set properties of learner object.
setProperties-method	Set properties of learner object.
setProperties-methods	Set properties of learner object.
setProperty	Set property of learner object.
setProperty-method	Set property of learner object.
setProperty-methods	Set property of learner object.
setThreshold	Set threshold of prediction object.
setThreshold-method	Set threshold of prediction object.
setThreshold-methods	Set threshold of prediction object.
setupLogger	Logger setup.
show	Base class for everything.
show-method	Base class for everything.
sse	Performance measures.
subsetData	Subset data in task.
subsetData-method	Subset data in task.
subsetData-methods	Subset data in task.

-- T --

TaskDesc	Description object for task.
TaskDesc-class	Description object for task.
test.max	Aggregation methods.
test.mean	Aggregation methods.
test.median	Aggregation methods.
test.min	Aggregation methods.
test.sd	Aggregation methods.
test.sum	Aggregation methods.
testgroup.mean	Aggregation methods.
timeboth	Performance measures.
timepredict	Performance measures.
timetrain	Performance measures.
tn	Performance measures.
tnr	Performance measures.
to.string	to.string,BaseWrapper-method
to.string-method	to.string,BaseWrapper-method
to.string-methods	to.string,BaseWrapper-method
tp	Performance measures.
tpr	Performance measures.
train	Train a learning algorithm.
train-method	Train a learning algorithm.
train-methods	Train a learning algorithm.
train.max	Aggregation methods.
train.mean	Aggregation methods.
train.median	Aggregation methods.
train.min	Aggregation methods.
train.sd	Aggregation methods.
train.sum	Aggregation methods.
trainLearner	trainLearner,BaseWrapper,LearnTask,integer-method
trainLearner-method	trainLearner,BaseWrapper,LearnTask,integer-method
trainLearner-methods	trainLearner,BaseWrapper,LearnTask,integer-method

-- U --

upper	Get upper bounds.
upper-method	Get upper bounds.
upper-methods	Get upper bounds.

-- V --

values	Get discrete values.
values-method	Get discrete values.
values-methods	Get discrete values.

-- W --

WrappedModel	Induced model of learner.
WrappedModel-class	Induced model of learner.

-- misc --

[-method	Abstract base class to wrap something around a learner.
[-method	Base class for learning tasks.
[-method	Prediction.
[-method	Resampling instance.
[-method	Base class for everything.