# Composable Preprocessing Operators and Pipelines for Machine Learning

## Documentation for package ‘mlrCPO’ version 0.3.6

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

A C D F G I L M N O P R S U misc

mlrCPO-package | Composable Preprocessing Operators

## -- A --

applyCPO | Apply a CPO to Data
as.list.CPO | Split a Pipeline into Its Constituents
as.list.CPOPrimitive | Split a Pipeline into Its Constituents
as.list.CPOTrained | Split a Pipeline into Its Constituents
attachCPO | Attach a CPO to a Learner

## -- C --

clearRI | Clear Retrafo and Inverter Attributes
composeCPO | CPO Composition
covrTraceCPOs | Add 'covr' coverage to CPOs
CPO | Composable Preprocessing Operators
cpoAddCols | Create Columns from Expressions
cpoApplyFun | Apply a Function Element-Wise
cpoApplyFunRegrTarget | Transform a Regression Target Variable
cpoAsNumeric | Convert All Features to Numerics
cpoCache | Caches the Result of CPO Transformations
cpoCase | Build Data-Dependent CPOs
cpoCbind | "cbind" the Result of Multiple CPOs
cpoCollapseFact | Compine Rare Factors
CPOConstructor | Constructor for CPO Objects
cpoDropConstants | Drop Constant or Near-Constant Features
cpoDummyEncode | CPO Dummy Encoder
cpoFilterAnova | Filter Features: "anova.test"
cpoFilterCarscore | Filter Features: "carscore"
cpoFilterChiSquared | Filter Features: "chi.squared"
cpoFilterFeatures | Filter Features by Thresholding Filter Values
cpoFilterGainRatio | Filter Features: "gain.ratio"
cpoFilterInformationGain | Filter Features: "information.gain"
cpoFilterKruskal | Filter Features: "kruskal.test"
cpoFilterLinearCorrelation | Filter Features: "linear.correlation"
cpoFilterMrmr | Filter Features: "mrmr"
cpoFilterOneR | Filter Features: "oneR"
cpoFilterPermutationImportance | Filter Features: "permutation.importance"
cpoFilterRankCorrelation | Filter Features: "rank.correlation"
cpoFilterRelief | Filter Features: "relief"
cpoFilterRfCImportance | Filter Features: "cforest.importance"
cpoFilterRfImportance | Filter Features: "randomForest.importance"
cpoFilterRfSRCImportance | Filter Features: "randomForestSRC.rfsrc"
cpoFilterRfSRCMinDepth | Filter Features: "randomForestSRC.var.select"
cpoFilterSymmetricalUncertainty | Filter Features: "symmetrical.uncertainty"
cpoFilterUnivariate | Filter Features: "univariate.model.score"
cpoFilterVariance | Filter Features: "variance"
cpoFixFactors | Clean Up Factorial Features
cpoIca | Construct a CPO for ICA Preprocessing
cpoImpactEncodeClassif | Impact Encoding
cpoImpactEncodeRegr | Impact Encoding
cpoImpute | Impute and Re-Impute Data
cpoImputeAll | Impute and Re-Impute Data
cpoImputeConstant | Perform Imputation with Constant Value
cpoImputeHist | Perform Imputation with Random Values
cpoImputeLearner | Perform Imputation with an 'mlr' 'Learner'
cpoImputeMax | Perform Imputation with Multiple of Minimum
cpoImputeMean | Perform Imputation with Mean Value
cpoImputeMedian | Perform Imputation with Median Value
cpoImputeMin | Perform Imputation with Multiple of Minimum
cpoImputeMode | Perform Imputation with Mode Value
cpoImputeNormal | Perform Imputation with Normally Distributed Random Values
cpoImputeUniform | Perform Imputation with Uniformly Random Values
CPOInverter | Get the Retransformation or Inversion Function from a Resulting Object
CPOLearner | CPO Learner Object
cpoLogTrafoRegr | Log-Transform a Regression Target Variable.
cpoMakeCols | Create Columns from Expressions
cpoMissingIndicators | Convert Data into Factors Indicating Missing Data
cpoModelMatrix | Create a "Model Matrix" from the Data Given a Formula
cpoMultiplex | CPO Multiplexer
cpoOversample | Over- or Undersample Binary Classification Tasks
cpoPca | Construct a CPO for PCA Preprocessing
cpoProbEncode | Probability Encoding
CPOProperties | Get the Properties of the Given CPO Object
cpoQuantileBinNumerics | Split Numeric Features into Quantile Bins
cpoRegrResiduals | Train a Model on a Task and Return the Residual Task
cpoResponseFromSE | Use the "se" 'predict.type' for "response" Prediction
CPORetrafo | Get the Retransformation or Inversion Function from a Resulting Object
cpoSample | Sample Data from a Task
cpoScale | Construct a CPO for Scaling / Centering
cpoScaleMaxAbs | Max Abs Scaling CPO
cpoScaleRange | Range Scaling CPO
cpoSelect | Drop All Columns Except Certain Selected Ones from Data
cpoSelectFreeProperties | Drop All Columns Except Certain Selected Ones from Data
cpoSmote | Perform SMOTE Oversampling for Binary Classification
cpoSpatialSign | Scale Rows to Unit Length
CPOTrained | Get the Retransformation or Inversion Function from a Resulting Object
CPOTrainedCapability | Get the CPOTrained's Capabilities
cpoTransformParams | Transform CPO Hyperparameters
cpoUndersample | Over- or Undersample Binary Classification Tasks
cpoWrap | CPO Wrapper
cpoWrapRetrafoless | CPO Wrapper

## -- D --

discrete | defined to avoid problems with the static type checker

## -- F --

funct | defined to avoid problems with the static type checker

## -- G --

getCPOAffect | Get the Selection Arguments for Affected CPOs
getCPOClass | Get the CPO Class
getCPOConstructor | Get the CPOConstructor Used to Create a CPO Object
getCPOId | Get the ID of a CPO Object
getCPOName | Get the CPO Object's Name
getCPOName.CPOConstructor | Get the CPO Object's Name
getCPOName.CPOTrained | Get the CPO Object's Name
getCPOOperatingType | Determine the Operating Type of the CPO
getCPOPredictType | Get the CPO 'predict.type'
getCPOPredictType.CPOTrained | Get the CPO 'predict.type'
getCPOProperties | Get the Properties of the Given CPO Object
getCPOProperties.CPOTrained | Get the Properties of the Given CPO Object
getCPOTrainedCapability | Get the CPOTrained's Capabilities
getCPOTrainedCPO | Get CPO Used to Train a Retrafo / Inverter
getCPOTrainedState | Get the Internal State of a CPORetrafo Object
getLearnerBare | Get the Learner with the CPOs Removed
getLearnerCPO | Get the CPO Associated with a Learner

## -- I --

identicalCPO | Check Whether Two CPO are Fundamentally the Same
invert | Invert Target Preprocessing
inverter | Get the Retransformation or Inversion Function from a Resulting Object
inverter<- | Get the Retransformation or Inversion Function from a Resulting Object
is.inverter | Check CPOInverter
is.nullcpo | Check for NULLCPO
is.retrafo | Check CPORetrafo

## -- L --

listCPO | List all Built-in CPOs

## -- M --

makeCPO | Create a Custom CPO Constructor
makeCPOCase | Build Data-Dependent CPOs
makeCPOExtendedTargetOp | Create a Custom CPO Constructor
makeCPOExtendedTrafo | Create a Custom CPO Constructor
makeCPOMultiplex | CPO Multiplexer
makeCPORetrafoless | Create a Custom CPO Constructor
makeCPOTargetOp | Create a Custom CPO Constructor
makeCPOTrainedFromState | Create a CPOTrained with Given Internal State

## -- N --

NULLCPO | CPO Composition Neutral Element
nullcpoToNull | NULLCPO to NULL
nullToNullcpo | NULL to NULLCPO

## -- O --

OperatingType | Determine the Operating Type of the CPO

## -- P --

pipeCPO | Turn a 'list' of CPOs into a Single Chained One
PredictType | Get the CPO 'predict.type'
print.CPO | Print CPO Objects
print.CPOConstructor | Print CPO Objects
print.CPOTrained | Print CPO Objects
pSS | Turn the argument list into a 'ParamSet'
pSSLrn | Turn the argument list into a 'ParamSet'

## -- R --

retrafo | Get the Retransformation or Inversion Function from a Resulting Object
retrafo<- | Get the Retransformation or Inversion Function from a Resulting Object

## -- S --

setCPOId | Set the ID of a CPO Object

## -- U --

untyped | defined to avoid problems with the static type checker

## -- misc --

!.CPO | Print CPO Objects
!.CPOConstructor | Print CPO Objects
!.CPOTrained | Print CPO Objects
%<<% | CPO Composition / Attachment / Application Operator
%<<<% | CPO Composition / Attachment / Application Operator
%<>>% | CPO Composition / Attachment / Application Operator
%>>% | CPO Composition / Attachment / Application Operator
%>|% | CPO Composition / Attachment / Application Operator
%|<% | CPO Composition / Attachment / Application Operator