Composable Preprocessing Operators and Pipelines for Machine Learning

Documentation for package ‘mlrCPO’ version 0.3.7-7

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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
cpoDropMostlyConstants	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 --

randomForestSRC_filters	Filter "randomForestSRC_importance" computes the importance of random forests fitted in package 'randomForestSRC'. The concrete method is selected via the 'method' parameter. Possible values are 'permute' (default), 'random', 'anti', 'permute.ensemble', 'random.ensemble', 'anti.ensemble'. See the VIMP section in the docs for [randomForestSRC::rfsrc] for details.
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