A simple Dictionary storing objects of class Learner. Each learner has an associated help page, see mlr_learners_[id].

Format

R6::R6Class object

Usage

See Dictionary.

See also

Examples

as.data.table(mlr_learners)
#> id feature_types #> 1: classif.debug logical,integer,numeric,character,factor,ordered #> 2: classif.featureless logical,integer,numeric,character,factor,ordered #> 3: classif.rpart logical,integer,numeric,character,factor,ordered #> 4: regr.featureless logical,integer,numeric,character,factor,ordered #> 5: regr.rpart logical,integer,numeric,character,factor,ordered #> packages properties #> 1: missings #> 2: importance,missings,multiclass,selected_features,twoclass #> 3: rpart importance,missings,multiclass,selected_features,twoclass #> 4: importance,missings,selected_features #> 5: rpart importance,missings,selected_features #> predict_types #> 1: response,prob #> 2: response,prob #> 3: response,prob #> 4: response,se #> 5: response
mlr_learners$get("classif.featureless")
#> <LearnerClassifFeatureless:featureless> #> Parameters: method=mode #> Packages: - #> Predict Type: response #> Feature types: logical, integer, numeric, character, factor, ordered #> Properties: importance, missings, multiclass, selected_features, #> twoclass #> #> Public: clone(), fallback, feature_types, hash, id, importance(), #> model, packages, param_set, params(), predict_type, predict_types, #> predict(), properties, selected_features(), task_type, train()