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diff --git a/reference/mlr_pipeops_randomresponse.html b/reference/mlr_pipeops_randomresponse.html
index da5d18243..9efcc884c 100644
--- a/reference/mlr_pipeops_randomresponse.html
+++ b/reference/mlr_pipeops_randomresponse.html
@@ -56,7 +56,7 @@
diff --git a/reference/mlr_pipeops_regravg.html b/reference/mlr_pipeops_regravg.html
index 7d8db5071..cb24a4259 100644
--- a/reference/mlr_pipeops_regravg.html
+++ b/reference/mlr_pipeops_regravg.html
@@ -50,7 +50,7 @@
diff --git a/reference/mlr_pipeops_removeconstants.html b/reference/mlr_pipeops_removeconstants.html
index d59b7c9e6..9fe1fd48a 100644
--- a/reference/mlr_pipeops_removeconstants.html
+++ b/reference/mlr_pipeops_removeconstants.html
@@ -44,7 +44,7 @@
diff --git a/reference/mlr_pipeops_renamecolumns.html b/reference/mlr_pipeops_renamecolumns.html
index 10894721a..0c93dccf8 100644
--- a/reference/mlr_pipeops_renamecolumns.html
+++ b/reference/mlr_pipeops_renamecolumns.html
@@ -40,7 +40,7 @@
diff --git a/reference/mlr_pipeops_replicate.html b/reference/mlr_pipeops_replicate.html
index 820be62b6..2fcb4149e 100644
--- a/reference/mlr_pipeops_replicate.html
+++ b/reference/mlr_pipeops_replicate.html
@@ -44,7 +44,7 @@
diff --git a/reference/mlr_pipeops_rowapply.html b/reference/mlr_pipeops_rowapply.html
index 46d67b467..736d45d60 100644
--- a/reference/mlr_pipeops_rowapply.html
+++ b/reference/mlr_pipeops_rowapply.html
@@ -40,7 +40,7 @@
diff --git a/reference/mlr_pipeops_scale.html b/reference/mlr_pipeops_scale.html
index 8f0647b73..7c770c980 100644
--- a/reference/mlr_pipeops_scale.html
+++ b/reference/mlr_pipeops_scale.html
@@ -44,7 +44,7 @@
diff --git a/reference/mlr_pipeops_scalemaxabs.html b/reference/mlr_pipeops_scalemaxabs.html
index 8946b4c1b..76ebeada9 100644
--- a/reference/mlr_pipeops_scalemaxabs.html
+++ b/reference/mlr_pipeops_scalemaxabs.html
@@ -42,7 +42,7 @@
diff --git a/reference/mlr_pipeops_scalerange.html b/reference/mlr_pipeops_scalerange.html
index e39d66946..d33984b1d 100644
--- a/reference/mlr_pipeops_scalerange.html
+++ b/reference/mlr_pipeops_scalerange.html
@@ -46,7 +46,7 @@
diff --git a/reference/mlr_pipeops_select.html b/reference/mlr_pipeops_select.html
index 827007bf5..25a04c52d 100644
--- a/reference/mlr_pipeops_select.html
+++ b/reference/mlr_pipeops_select.html
@@ -42,7 +42,7 @@
diff --git a/reference/mlr_pipeops_smote.html b/reference/mlr_pipeops_smote.html
index 30179ec7e..7cd8d6286 100644
--- a/reference/mlr_pipeops_smote.html
+++ b/reference/mlr_pipeops_smote.html
@@ -48,7 +48,7 @@
diff --git a/reference/mlr_pipeops_smotenc.html b/reference/mlr_pipeops_smotenc.html
index 44740529c..0b8b3f4a7 100644
--- a/reference/mlr_pipeops_smotenc.html
+++ b/reference/mlr_pipeops_smotenc.html
@@ -58,7 +58,7 @@
diff --git a/reference/mlr_pipeops_spatialsign.html b/reference/mlr_pipeops_spatialsign.html
index df7d41972..e30c82bbc 100644
--- a/reference/mlr_pipeops_spatialsign.html
+++ b/reference/mlr_pipeops_spatialsign.html
@@ -38,7 +38,7 @@
diff --git a/reference/mlr_pipeops_subsample.html b/reference/mlr_pipeops_subsample.html
index dffd859c6..3345cba1d 100644
--- a/reference/mlr_pipeops_subsample.html
+++ b/reference/mlr_pipeops_subsample.html
@@ -44,7 +44,7 @@
diff --git a/reference/mlr_pipeops_targetinvert.html b/reference/mlr_pipeops_targetinvert.html
index ad8da5944..272e025f5 100644
--- a/reference/mlr_pipeops_targetinvert.html
+++ b/reference/mlr_pipeops_targetinvert.html
@@ -46,7 +46,7 @@
diff --git a/reference/mlr_pipeops_targetmutate.html b/reference/mlr_pipeops_targetmutate.html
index f036cccd3..0f8dd684d 100644
--- a/reference/mlr_pipeops_targetmutate.html
+++ b/reference/mlr_pipeops_targetmutate.html
@@ -40,7 +40,7 @@
diff --git a/reference/mlr_pipeops_targettrafoscalerange.html b/reference/mlr_pipeops_targettrafoscalerange.html
index 02e8987bd..d1cd863f7 100644
--- a/reference/mlr_pipeops_targettrafoscalerange.html
+++ b/reference/mlr_pipeops_targettrafoscalerange.html
@@ -46,7 +46,7 @@
diff --git a/reference/mlr_pipeops_textvectorizer.html b/reference/mlr_pipeops_textvectorizer.html
index 06e958ffe..ae6ab671d 100644
--- a/reference/mlr_pipeops_textvectorizer.html
+++ b/reference/mlr_pipeops_textvectorizer.html
@@ -94,7 +94,7 @@
diff --git a/reference/mlr_pipeops_threshold.html b/reference/mlr_pipeops_threshold.html
index 89aed9494..5b064a7ee 100644
--- a/reference/mlr_pipeops_threshold.html
+++ b/reference/mlr_pipeops_threshold.html
@@ -42,7 +42,7 @@
diff --git a/reference/mlr_pipeops_tunethreshold.html b/reference/mlr_pipeops_tunethreshold.html
index c691c58de..d8c0a2731 100644
--- a/reference/mlr_pipeops_tunethreshold.html
+++ b/reference/mlr_pipeops_tunethreshold.html
@@ -56,7 +56,7 @@
diff --git a/reference/mlr_pipeops_unbranch.html b/reference/mlr_pipeops_unbranch.html
index a79b0c6a9..ef4f9a9d8 100644
--- a/reference/mlr_pipeops_unbranch.html
+++ b/reference/mlr_pipeops_unbranch.html
@@ -38,7 +38,7 @@
diff --git a/reference/mlr_pipeops_updatetarget.html b/reference/mlr_pipeops_updatetarget.html
index 76fc38dff..2d38ee73d 100644
--- a/reference/mlr_pipeops_updatetarget.html
+++ b/reference/mlr_pipeops_updatetarget.html
@@ -60,7 +60,7 @@
diff --git a/reference/mlr_pipeops_vtreat.html b/reference/mlr_pipeops_vtreat.html
index 6da6ce7ae..54eed2d32 100644
--- a/reference/mlr_pipeops_vtreat.html
+++ b/reference/mlr_pipeops_vtreat.html
@@ -46,7 +46,7 @@
diff --git a/reference/mlr_pipeops_yeojohnson.html b/reference/mlr_pipeops_yeojohnson.html
index 53f5a955f..73dcca508 100644
--- a/reference/mlr_pipeops_yeojohnson.html
+++ b/reference/mlr_pipeops_yeojohnson.html
@@ -42,7 +42,7 @@
diff --git a/reference/po.html b/reference/po.html
index 7d4ef4c76..e93ff4c94 100644
--- a/reference/po.html
+++ b/reference/po.html
@@ -60,7 +60,7 @@
diff --git a/reference/ppl.html b/reference/ppl.html
index 4ebba664b..38a453388 100644
--- a/reference/ppl.html
+++ b/reference/ppl.html
@@ -42,7 +42,7 @@
diff --git a/reference/reexports.html b/reference/reexports.html
index c38fd75fa..85a292f4e 100644
--- a/reference/reexports.html
+++ b/reference/reexports.html
@@ -52,7 +52,7 @@
diff --git a/reference/register_autoconvert_function.html b/reference/register_autoconvert_function.html
index 857a45a19..485045d5b 100644
--- a/reference/register_autoconvert_function.html
+++ b/reference/register_autoconvert_function.html
@@ -48,7 +48,7 @@
diff --git a/reference/reset_autoconvert_register.html b/reference/reset_autoconvert_register.html
index b8b6c1f0f..8e88a829b 100644
--- a/reference/reset_autoconvert_register.html
+++ b/reference/reset_autoconvert_register.html
@@ -40,7 +40,7 @@
diff --git a/reference/reset_class_hierarchy_cache.html b/reference/reset_class_hierarchy_cache.html
index fb2f5f292..31f2111b2 100644
--- a/reference/reset_class_hierarchy_cache.html
+++ b/reference/reset_class_hierarchy_cache.html
@@ -40,7 +40,7 @@
diff --git a/reference/set_validate.GraphLearner.html b/reference/set_validate.GraphLearner.html
index 587a80600..36ad2f222 100644
--- a/reference/set_validate.GraphLearner.html
+++ b/reference/set_validate.GraphLearner.html
@@ -52,7 +52,7 @@
Target Transformation Base Class
- Source:R/PipeOpTrafo.R
+ Source: R/PipeOpTrafo.R
PipeOpTargetTrafo.Rd
Task Preprocessing Base Class
- Source:R/PipeOpTaskPreproc.R
+ Source: R/PipeOpTaskPreproc.R
PipeOpTaskPreproc.Rd
Simple Task Preprocessing Base Class
- Source:R/PipeOpTaskPreproc.R
+ Source: R/PipeOpTaskPreproc.R
PipeOpTaskPreprocSimple.Rd
Add a Class Hierarchy to the Cache
- Source:R/typecheck.R
+ Source: R/typecheck.R
add_class_hierarchy_cache.Rd
Convert an object to a Multiplicity
- Source:R/multiplicity.R
+ Source: R/multiplicity.R
as.Multiplicity.Rd
Conversion to mlr3pipelines PipeOp
- Source:R/assert_graph.R
+ Source: R/assert_graph.R
as_pipeop.Rd
Assertion for mlr3pipelines Graph
- Source:R/assert_graph.R
+ Source: R/assert_graph.R
assert_graph.Rd
Assertion for mlr3pipelines PipeOp
- Source:R/assert_graph.R
+ Source: R/assert_graph.R
assert_pipeop.Rd
PipeOp Composition Operator
- Source:R/operators.R
+ Source: R/operators.R
grapes-greater-than-greater-than-grapes.Rd
Create Disjoint Graph Union of Copies of a Graph
- Source:R/greplicate.R
+ Source: R/greplicate.R
greplicate.Rd
Check if an object is a Multiplicity
- Source:R/multiplicity.R
+ Source: R/multiplicity.R
is.Multiplicity.Rd
mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3'
- Source:R/zzz.R
+ Source: R/zzz.R
mlr3pipelines-package.Rd
Create a bagging learner
- Source:R/pipeline_bagging.R
+ Source: R/pipeline_bagging.R
mlr_graphs_bagging.Rd
Branch Between Alternative Paths
- Source:R/pipeline_branch.R
+ Source: R/pipeline_branch.R
mlr_graphs_branch.Rd
Convert Column Types
- Source:R/pipeline_convert_types.R
+ Source: R/pipeline_convert_types.R
mlr_graphs_convert_types.Rd
Create Disjoint Graph Union of Copies of a Graph
- Source:R/pipeline_greplicate.R
+ Source: R/pipeline_greplicate.R
mlr_graphs_greplicate.Rd
Create A Graph to Perform "One vs. Rest" classification.
- Source:R/pipeline_ovr.R
+ Source: R/pipeline_ovr.R
mlr_graphs_ovr.Rd
Robustify a learner
- Source:R/pipeline_robustify.R
+ Source: R/pipeline_robustify.R
mlr_graphs_robustify.Rd
Create A Graph to Perform Stacking.
- Source:R/pipeline_stacking.R
+ Source: R/pipeline_stacking.R
mlr_graphs_stacking.Rd
Transform and Re-Transform the Target Variable
- Source:R/pipeline_targettrafo.R
+ Source: R/pipeline_targettrafo.R
mlr_graphs_targettrafo.Rd
Optimized Weighted Average of Features for Classification and Regression
- Source:R/LearnerAvg.R
+ Source: R/LearnerAvg.R
mlr_learners_avg.Rd
Encapsulate a Graph as a Learner
- Source:R/GraphLearner.R
+ Source: R/GraphLearner.R
mlr_learners_graph.Rd
Box-Cox Transformation of Numeric Features
- Source:R/PipeOpBoxCox.R
+ Source: R/PipeOpBoxCox.R
mlr_pipeops_boxcox.Rd
Chunk Input into Multiple Outputs
- Source:R/PipeOpChunk.R
+ Source: R/PipeOpChunk.R
mlr_pipeops_chunk.Rd
Class Balancing
- Source:R/PipeOpClassBalancing.R
+ Source: R/PipeOpClassBalancing.R
mlr_pipeops_classbalancing.Rd
Majority Vote Prediction
- Source:R/PipeOpClassifAvg.R
+ Source: R/PipeOpClassifAvg.R
mlr_pipeops_classifavg.Rd
Class Weights for Sample Weighting
- Source:R/PipeOpClassWeights.R
+ Source: R/PipeOpClassWeights.R
mlr_pipeops_classweights.Rd
Apply a Function to each Column of a Task
- Source:R/PipeOpColApply.R
+ Source: R/PipeOpColApply.R
mlr_pipeops_colapply.Rd
Collapse Factors
- Source:R/PipeOpCollapseFactors.R
+ Source: R/PipeOpCollapseFactors.R
mlr_pipeops_collapsefactors.Rd
Change Column Roles of a Task
- Source:R/PipeOpColRoles.R
+ Source: R/PipeOpColRoles.R
mlr_pipeops_colroles.Rd
Preprocess Date Features
- Source:R/PipeOpDateFeatures.R
+ Source: R/PipeOpDateFeatures.R
mlr_pipeops_datefeatures.Rd
Conditional Target Value Impact Encoding
- Source:R/PipeOpEncodeImpact.R
+ Source: R/PipeOpEncodeImpact.R
mlr_pipeops_encodeimpact.Rd
Impact Encoding with Random Intercept Models
- Source:R/PipeOpEncodeLmer.R
+ Source: R/PipeOpEncodeLmer.R
mlr_pipeops_encodelmer.Rd
Aggregate Features from Multiple Inputs
- Source:R/PipeOpFeatureUnion.R
+ Source: R/PipeOpFeatureUnion.R
mlr_pipeops_featureunion.Rd
Fix Factor Levels
- Source:R/PipeOpFixFactors.R
+ Source: R/PipeOpFixFactors.R
mlr_pipeops_fixfactors.Rd
Split Numeric Features into Equally Spaced Bins
- Source:R/PipeOpHistBin.R
+ Source: R/PipeOpHistBin.R
mlr_pipeops_histbin.Rd
Impute Features by a Constant
- Source:R/PipeOpImputeConstant.R
+ Source: R/PipeOpImputeConstant.R
mlr_pipeops_imputeconstant.Rd
Impute Numerical Features by Histogram
- Source:R/PipeOpImputeHist.R
+ Source: R/PipeOpImputeHist.R
mlr_pipeops_imputehist.Rd
Impute Features by Fitting a Learner
- Source:R/PipeOpImputeLearner.R
+ Source: R/PipeOpImputeLearner.R
mlr_pipeops_imputelearner.Rd
Impute Numerical Features by their Mean
- Source:R/PipeOpImputeMean.R
+ Source: R/PipeOpImputeMean.R
mlr_pipeops_imputemean.Rd
Impute Numerical Features by their Median
- Source:R/PipeOpImputeMedian.R
+ Source: R/PipeOpImputeMedian.R
mlr_pipeops_imputemedian.Rd
Impute Features by their Mode
- Source:R/PipeOpImputeMode.R
+ Source: R/PipeOpImputeMode.R
mlr_pipeops_imputemode.Rd
Out of Range Imputation
- Source:R/PipeOpImputeOOR.R
+ Source: R/PipeOpImputeOOR.R
mlr_pipeops_imputeoor.Rd
Impute Features by Sampling
- Source:R/PipeOpImputeSample.R
+ Source: R/PipeOpImputeSample.R
mlr_pipeops_imputesample.Rd
Kernelized Principle Component Analysis
- Source:R/PipeOpKernelPCA.R
+ Source: R/PipeOpKernelPCA.R
mlr_pipeops_kernelpca.Rd
Wrap a Learner into a PipeOp
- Source:R/PipeOpLearner.R
+ Source: R/PipeOpLearner.R
mlr_pipeops_learner.Rd
Wrap a Learner into a PipeOp with Cross-validated Predictions as Features
- Source:R/PipeOpLearnerCV.R
+ Source: R/PipeOpLearnerCV.R
mlr_pipeops_learner_cv.Rd
Add Missing Indicator Columns
- Source:R/PipeOpMissingIndicators.R
+ Source: R/PipeOpMissingIndicators.R
mlr_pipeops_missind.Rd
Transform Columns by Constructing a Model Matrix
- Source:R/PipeOpModelMatrix.R
+ Source: R/PipeOpModelMatrix.R
mlr_pipeops_modelmatrix.Rd
Explicate a Multiplicity
- Source:R/PipeOpMultiplicity.R
+ Source: R/PipeOpMultiplicity.R
mlr_pipeops_multiplicityexply.Rd
Implicate a Multiplicity
- Source:R/PipeOpMultiplicity.R
+ Source: R/PipeOpMultiplicity.R
mlr_pipeops_multiplicityimply.Rd
Add Features According to Expressions
- Source:R/PipeOpMutate.R
+ Source: R/PipeOpMutate.R
mlr_pipeops_mutate.Rd
Non-negative Matrix Factorization
- Source:R/PipeOpNMF.R
+ Source: R/PipeOpNMF.R
mlr_pipeops_nmf.Rd
Split a Classification Task into Binary Classification Tasks
- Source:R/PipeOpOVR.R
+ Source: R/PipeOpOVR.R
mlr_pipeops_ovrsplit.Rd
Unite Binary Classification Tasks
- Source:R/PipeOpOVR.R
+ Source: R/PipeOpOVR.R
mlr_pipeops_ovrunite.Rd
Wrap another PipeOp or Graph as a Hyperparameter
- Source:R/PipeOpProxy.R
+ Source: R/PipeOpProxy.R
mlr_pipeops_proxy.Rd
Split Numeric Features into Quantile Bins
- Source:R/PipeOpQuantileBin.R
+ Source: R/PipeOpQuantileBin.R
mlr_pipeops_quantilebin.Rd
Project Numeric Features onto a Randomly Sampled Subspace
- Source:R/PipeOpRandomProjection.R
+ Source: R/PipeOpRandomProjection.R
mlr_pipeops_randomprojection.Rd
Generate a Randomized Response Prediction
- Source:R/PipeOpRandomResponse.R
+ Source: R/PipeOpRandomResponse.R
mlr_pipeops_randomresponse.Rd
Weighted Prediction Averaging
- Source:R/PipeOpRegrAvg.R
+ Source: R/PipeOpRegrAvg.R
mlr_pipeops_regravg.Rd
Remove Constant Features
- Source:R/PipeOpRemoveConstants.R
+ Source: R/PipeOpRemoveConstants.R
mlr_pipeops_removeconstants.Rd
Rename Columns
- Source:R/PipeOpRenameColumns.R
+ Source: R/PipeOpRenameColumns.R
mlr_pipeops_renamecolumns.Rd
Replicate the Input as a Multiplicity
- Source:R/PipeOpMultiplicity.R
+ Source: R/PipeOpMultiplicity.R
mlr_pipeops_replicate.Rd
Apply a Function to each Row of a Task
- Source:R/PipeOpRowApply.R
+ Source: R/PipeOpRowApply.R
mlr_pipeops_rowapply.Rd
Center and Scale Numeric Features
- Source:R/PipeOpScale.R
+ Source: R/PipeOpScale.R
mlr_pipeops_scale.Rd
Scale Numeric Features with Respect to their Maximum Absolute Value
- Source:R/PipeOpScaleMaxAbs.R
+ Source: R/PipeOpScaleMaxAbs.R
mlr_pipeops_scalemaxabs.Rd
Linearly Transform Numeric Features to Match Given Boundaries
- Source:R/PipeOpScaleRange.R
+ Source: R/PipeOpScaleRange.R
mlr_pipeops_scalerange.Rd
Remove Features Depending on a Selector
- Source:R/PipeOpSelect.R
+ Source: R/PipeOpSelect.R
mlr_pipeops_select.Rd
Normalize Data Row-wise
- Source:R/PipeOpSpatialSign.R
+ Source: R/PipeOpSpatialSign.R
mlr_pipeops_spatialsign.Rd
Invert Target Transformations
- Source:R/PipeOpTrafo.R
+ Source: R/PipeOpTrafo.R
mlr_pipeops_targetinvert.Rd
Transform a Target by a Function
- Source:R/PipeOpTrafo.R
+ Source: R/PipeOpTrafo.R
mlr_pipeops_targetmutate.Rd
Linearly Transform a Numeric Target to Match Given Boundaries
- Source:R/PipeOpTrafo.R
+ Source: R/PipeOpTrafo.R
mlr_pipeops_targettrafoscalerange.Rd
Bag-of-word Representation of Character Features
- Source:R/PipeOpTextVectorizer.R
+ Source: R/PipeOpTextVectorizer.R
mlr_pipeops_textvectorizer.Rd
Change the Threshold of a Classification Prediction
- Source:R/PipeOpThreshold.R
+ Source: R/PipeOpThreshold.R
mlr_pipeops_threshold.Rd
Tune the Threshold of a Classification Prediction
- Source:R/PipeOpTuneThreshold.R
+ Source: R/PipeOpTuneThreshold.R
mlr_pipeops_tunethreshold.Rd
Unbranch Different Paths
- Source:R/PipeOpUnbranch.R
+ Source: R/PipeOpUnbranch.R
mlr_pipeops_unbranch.Rd
Transform a Target without an Explicit Inversion
- Source:R/PipeOpTrafo.R
+ Source: R/PipeOpTrafo.R
mlr_pipeops_updatetarget.Rd
Interface to the vtreat Package
- Source:R/PipeOpVtreat.R
+ Source: R/PipeOpVtreat.R
mlr_pipeops_vtreat.Rd
Yeo-Johnson Transformation of Numeric Features
- Source:R/PipeOpYeoJohnson.R
+ Source: R/PipeOpYeoJohnson.R
mlr_pipeops_yeojohnson.Rd
Add Autoconvert Function to Conversion Register
- Source:R/typecheck.R
+ Source: R/typecheck.R
register_autoconvert_function.Rd
Reset Autoconvert Register
- Source:R/typecheck.R
+ Source: R/typecheck.R
reset_autoconvert_register.Rd
Reset the Class Hierarchy Cache
- Source:R/typecheck.R
+ Source: R/typecheck.R
reset_class_hierarchy_cache.Rd
Configure Validation for a GraphLearner
- Source:R/GraphLearner.R
+ Source: R/GraphLearner.R
set_validate.GraphLearner.Rd