| cpoOversample {mlrCPO} | R Documentation |
Over- or Undersample Binary Classification Tasks
Description
This is a CPOConstructor to be used to create a
CPO. It is called like any R function and returns
the created CPO.
Oversamples the minor or undersamples the major class in
a binary classification task to alleviate class imbalance.
Uses mlr::oversample and
mlr::undersample, see documentation
there.
Usage
cpoOversample(rate = NULL, cl = NULL, id, export = "export.default")
cpoUndersample(rate = NULL, cl = NULL, id, export = "export.default")
Arguments
rate |
[ |
cl |
[ |
id |
[ |
export |
[ |
Value
[CPO].
General CPO info
This function creates a CPO object, which can be applied to
Tasks, data.frames, link{Learner}s
and other CPO objects using the %>>% operator.
The parameters of this object can be changed after creation
using the function setHyperPars. The other
hyper-parameter manipulating functins, getHyperPars
and getParamSet similarly work as one expects.
If the “id” parameter is given, the hyperparameters will have this id as aprefix; this will, however, not change the parameters of the creator function.
Calling a CPOConstructor
CPO constructor functions are called with optional values of parameters, and additional “special” optional values.
The special optional values are the id parameter, and the affect.* parameters. The affect.* parameters
enable the user to control which subset of a given dataset is affected. If no affect.* parameters are given, all
data features are affected by default.
See Also
Other CPOs:
cpoApplyFunRegrTarget(),
cpoApplyFun(),
cpoAsNumeric(),
cpoCache(),
cpoCbind(),
cpoCollapseFact(),
cpoDropConstants(),
cpoDropMostlyConstants(),
cpoDummyEncode(),
cpoFilterAnova(),
cpoFilterCarscore(),
cpoFilterChiSquared(),
cpoFilterFeatures(),
cpoFilterGainRatio(),
cpoFilterInformationGain(),
cpoFilterKruskal(),
cpoFilterLinearCorrelation(),
cpoFilterMrmr(),
cpoFilterOneR(),
cpoFilterPermutationImportance(),
cpoFilterRankCorrelation(),
cpoFilterRelief(),
cpoFilterRfCImportance(),
cpoFilterRfImportance(),
cpoFilterRfSRCImportance(),
cpoFilterRfSRCMinDepth(),
cpoFilterSymmetricalUncertainty(),
cpoFilterUnivariate(),
cpoFilterVariance(),
cpoFixFactors(),
cpoIca(),
cpoImpactEncodeClassif(),
cpoImpactEncodeRegr(),
cpoImputeConstant(),
cpoImputeHist(),
cpoImputeLearner(),
cpoImputeMax(),
cpoImputeMean(),
cpoImputeMedian(),
cpoImputeMin(),
cpoImputeMode(),
cpoImputeNormal(),
cpoImputeUniform(),
cpoImpute(),
cpoLogTrafoRegr(),
cpoMakeCols(),
cpoMissingIndicators(),
cpoModelMatrix(),
cpoPca(),
cpoProbEncode(),
cpoQuantileBinNumerics(),
cpoRegrResiduals(),
cpoResponseFromSE(),
cpoSample(),
cpoScaleMaxAbs(),
cpoScaleRange(),
cpoScale(),
cpoSelect(),
cpoSmote(),
cpoSpatialSign(),
cpoTransformParams(),
cpoWrap(),
makeCPOCase(),
makeCPOMultiplex()