A simple Dictionary storing objects of class PipeOp. Each PipeOp has an associated help page, see mlr_pipeops_[id].

Format

R6Class object inheriting from mlr3misc::Dictionary.

Fields

Fields inherited from Dictionary, as well as:

  • metainf :: environment
    Environment that stores the metainf argument of the $add() method. Only for internal use.

Methods

Methods inherited from Dictionary, as well as:

  • add(key, value, metainf = NULL)
    (character(1), R6ClassGenerator, NULL | list)
    Adds constructor value to the dictionary with key key, potentially overwriting a previously stored item. If metainf is not NULL (the default), it must be a list of arguments that will be given to the value constructor (i.e. value$new()) when it needs to be constructed for as.data.table PipeOp listing.

S3 methods

  • as.data.table(dict)
    Dictionary -> data.table::data.table
    Returns a data.table with columns key (character), packages (character), input.num (integer), output.num (integer), input.type.train (character), input.type.predict (character), output.type.train (character), output.type.predict (character).

See also

Other mlr3pipelines backend related: Graph, PipeOpTargetTrafo, PipeOpTaskPreprocSimple, PipeOpTaskPreproc, PipeOp, mlr_graphs, mlr_pipeops_updatetarget

Other PipeOps: PipeOpEnsemble, PipeOpImpute, PipeOpTargetTrafo, PipeOpTaskPreprocSimple, PipeOpTaskPreproc, PipeOp, mlr_pipeops_boxcox, mlr_pipeops_branch, mlr_pipeops_chunk, mlr_pipeops_classbalancing, mlr_pipeops_classifavg, mlr_pipeops_classweights, mlr_pipeops_colapply, mlr_pipeops_collapsefactors, mlr_pipeops_colroles, mlr_pipeops_copy, mlr_pipeops_datefeatures, mlr_pipeops_encodeimpact, mlr_pipeops_encodelmer, mlr_pipeops_encode, mlr_pipeops_featureunion, mlr_pipeops_filter, mlr_pipeops_fixfactors, mlr_pipeops_histbin, mlr_pipeops_ica, mlr_pipeops_imputeconstant, mlr_pipeops_imputehist, mlr_pipeops_imputelearner, mlr_pipeops_imputemean, mlr_pipeops_imputemedian, mlr_pipeops_imputemode, mlr_pipeops_imputeoor, mlr_pipeops_imputesample, mlr_pipeops_kernelpca, mlr_pipeops_learner, mlr_pipeops_missind, mlr_pipeops_modelmatrix, mlr_pipeops_multiplicityexply, mlr_pipeops_multiplicityimply, mlr_pipeops_mutate, mlr_pipeops_nmf, mlr_pipeops_nop, mlr_pipeops_ovrsplit, mlr_pipeops_ovrunite, mlr_pipeops_pca, mlr_pipeops_proxy, mlr_pipeops_quantilebin, mlr_pipeops_randomprojection, mlr_pipeops_randomresponse, mlr_pipeops_regravg, mlr_pipeops_removeconstants, mlr_pipeops_renamecolumns, mlr_pipeops_replicate, mlr_pipeops_scalemaxabs, mlr_pipeops_scalerange, mlr_pipeops_scale, mlr_pipeops_select, mlr_pipeops_smote, mlr_pipeops_spatialsign, mlr_pipeops_subsample, mlr_pipeops_targetinvert, mlr_pipeops_targetmutate, mlr_pipeops_targettrafoscalerange, mlr_pipeops_textvectorizer, mlr_pipeops_threshold, mlr_pipeops_tunethreshold, mlr_pipeops_unbranch, mlr_pipeops_updatetarget, mlr_pipeops_vtreat, mlr_pipeops_yeojohnson

Other Dictionaries: mlr_graphs

Examples

library("mlr3")

mlr_pipeops$get("learner", lrn("classif.rpart"))
#> PipeOp: <classif.rpart> (not trained)
#> values: <xval=0>
#> Input channels <name [train type, predict type]>:
#>   input [TaskClassif,TaskClassif]
#> Output channels <name [train type, predict type]>:
#>   output [NULL,PredictionClassif]

# equivalent:
po("learner", learner = lrn("classif.rpart"))
#> PipeOp: <classif.rpart> (not trained)
#> values: <xval=0>
#> Input channels <name [train type, predict type]>:
#>   input [TaskClassif,TaskClassif]
#> Output channels <name [train type, predict type]>:
#>   output [NULL,PredictionClassif]

# all PipeOps currently in the dictionary:
as.data.table(mlr_pipeops)[, c("key", "input.num", "output.num", "packages")]
#>                       key input.num output.num                         packages
#>  1:                boxcox         1          1      mlr3pipelines,bestNormalize
#>  2:                branch         1         NA                    mlr3pipelines
#>  3:                 chunk         1         NA                    mlr3pipelines
#>  4:        classbalancing         1          1                    mlr3pipelines
#>  5:            classifavg        NA          1              mlr3pipelines,stats
#>  6:          classweights         1          1                    mlr3pipelines
#>  7:              colapply         1          1                    mlr3pipelines
#>  8:       collapsefactors         1          1                    mlr3pipelines
#>  9:              colroles         1          1                    mlr3pipelines
#> 10:                  copy         1         NA                    mlr3pipelines
#> 11:          datefeatures         1          1                    mlr3pipelines
#> 12:                encode         1          1              mlr3pipelines,stats
#> 13:          encodeimpact         1          1                    mlr3pipelines
#> 14:            encodelmer         1          1        mlr3pipelines,lme4,nloptr
#> 15:          featureunion        NA          1                    mlr3pipelines
#> 16:                filter         1          1                    mlr3pipelines
#> 17:            fixfactors         1          1                    mlr3pipelines
#> 18:               histbin         1          1           mlr3pipelines,graphics
#> 19:                   ica         1          1            mlr3pipelines,fastICA
#> 20:        imputeconstant         1          1                    mlr3pipelines
#> 21:            imputehist         1          1           mlr3pipelines,graphics
#> 22:         imputelearner         1          1                    mlr3pipelines
#> 23:            imputemean         1          1                    mlr3pipelines
#> 24:          imputemedian         1          1              mlr3pipelines,stats
#> 25:            imputemode         1          1                    mlr3pipelines
#> 26:             imputeoor         1          1                    mlr3pipelines
#> 27:          imputesample         1          1                    mlr3pipelines
#> 28:             kernelpca         1          1            mlr3pipelines,kernlab
#> 29:               learner         1          1                    mlr3pipelines
#> 30:            learner_cv         1          1                    mlr3pipelines
#> 31:               missind         1          1                    mlr3pipelines
#> 32:           modelmatrix         1          1              mlr3pipelines,stats
#> 33:     multiplicityexply         1         NA                    mlr3pipelines
#> 34:     multiplicityimply        NA          1                    mlr3pipelines
#> 35:                mutate         1          1                    mlr3pipelines
#> 36:                   nmf         1          1           mlr3pipelines,MASS,NMF
#> 37:                   nop         1          1                    mlr3pipelines
#> 38:              ovrsplit         1          1                    mlr3pipelines
#> 39:              ovrunite         1          1                    mlr3pipelines
#> 40:                   pca         1          1                    mlr3pipelines
#> 41:                 proxy        NA          1                    mlr3pipelines
#> 42:           quantilebin         1          1              mlr3pipelines,stats
#> 43:      randomprojection         1          1                    mlr3pipelines
#> 44:        randomresponse         1          1                    mlr3pipelines
#> 45:               regravg        NA          1                    mlr3pipelines
#> 46:       removeconstants         1          1                    mlr3pipelines
#> 47:         renamecolumns         1          1                    mlr3pipelines
#> 48:             replicate         1          1                    mlr3pipelines
#> 49:                 scale         1          1                    mlr3pipelines
#> 50:           scalemaxabs         1          1                    mlr3pipelines
#> 51:            scalerange         1          1                    mlr3pipelines
#> 52:                select         1          1                    mlr3pipelines
#> 53:                 smote         1          1        mlr3pipelines,smotefamily
#> 54:           spatialsign         1          1                    mlr3pipelines
#> 55:             subsample         1          1                    mlr3pipelines
#> 56:          targetinvert         2          1                    mlr3pipelines
#> 57:          targetmutate         1          2                    mlr3pipelines
#> 58: targettrafoscalerange         1          2                    mlr3pipelines
#> 59:        textvectorizer         1          1 mlr3pipelines,quanteda,stopwords
#> 60:             threshold         1          1                    mlr3pipelines
#> 61:         tunethreshold         1          1              mlr3pipelines,bbotk
#> 62:              unbranch        NA          1                    mlr3pipelines
#> 63:                vtreat         1          1             mlr3pipelines,vtreat
#> 64:            yeojohnson         1          1      mlr3pipelines,bestNormalize
#>                       key input.num output.num                         packages