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 |