Man pages for mlrCPO
Composable Preprocessing Operators and Pipelines for Machine Learning
| applyCPO | Apply a CPO to Data |
| as.list.CPO | Split a Pipeline into Its Constituents |
| attachCPO | Attach a CPO to a Learner |
| clearRI | Clear Retrafo and Inverter Attributes |
| composeCPO | CPO Composition |
| covrTraceCPOs | Add 'covr' coverage to CPOs |
| CPO | Composable Preprocessing Operators |
| 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 |
| 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 |
| 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 |
| 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 |
| cpoOversample | Over- or Undersample Binary Classification Tasks |
| cpoPca | Construct a CPO for PCA Preprocessing |
| cpoProbEncode | Probability Encoding |
| 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 |
| 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 |
| cpoSmote | Perform SMOTE Oversampling for Binary Classification |
| cpoSpatialSign | Scale Rows to Unit Length |
| cpoTemplate | Dummy Function for Documentation Purposes |
| CPOTrained | Get the Retransformation or Inversion Function from a... |
| cpoTransformParams | Transform CPO Hyperparameters |
| cpoWrap | CPO Wrapper |
| discrete | defined to avoid problems with the static type checker |
| funct | defined to avoid problems with the static type checker |
| 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 |
| getCPOOperatingType | Determine the Operating Type of the CPO |
| getCPOPredictType | Get the CPO 'predict.type' |
| getCPOProperties | 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 |
| grapes-greater-than-greater-than-grapes | CPO Composition / Attachment / Application Operator |
| identicalCPO | Check Whether Two CPO are Fundamentally the Same |
| internal-grapes-greater-than-greater-than-grapes | Internally Used '%>>%' Operators |
| invert | Invert Target Preprocessing |
| is.inverter | Check CPOInverter |
| is.nullcpo | Check for NULLCPO |
| is.retrafo | Check CPORetrafo |
| listCPO | List all Built-in CPOs |
| makeCPO | Create a Custom CPO Constructor |
| makeCPOCase | Build Data-Dependent CPOs |
| makeCPOMultiplex | CPO Multiplexer |
| makeCPOTrainedFromState | Create a CPOTrained with Given Internal State |
| mlrCPO-package | Composable Preprocessing Operators |
| NULLCPO | CPO Composition Neutral Element |
| nullcpoToNull | NULLCPO to NULL |
| nullToNullcpo | NULL to NULLCPO |
| pipeCPO | Turn a 'list' of CPOs into a Single Chained One |
| print.CPOConstructor | Print CPO Objects |
| pSS | Turn the argument list into a 'ParamSet' |
| randomForestSRC_filters | Filter "randomForestSRC_importance" computes the importance... |
| setCPOId | Set the ID of a CPO Object |
| untyped | defined to avoid problems with the static type checker |
