Environment which stores various information for reflections.

mlr_reflections

Format

An object of class environment of length 11.

Examples

ls.str(mlr_reflections)
#> databackend_formats : chr [1:2] "data.table" "sparse" #> experiment_slots : Classes ‘data.table’ and 'data.frame': 12 obs. of 4 variables: #> $ name : chr "task" "learner" "resampling" "iteration" ... #> $ type : chr "Task" "Learner" "Resampling" "integer" ... #> $ atomic: logi FALSE FALSE FALSE TRUE FALSE TRUE ... #> $ state : Ord.factor w/ 5 levels "undefined"<"defined"<..: 2 2 3 3 3 3 4 4 4 5 ... #> experiment_states : chr [1:5] "undefined" "defined" "trained" "predicted" "scored" #> learner_predict_types : List of 2 #> $ classif: chr [1:2] "response" "prob" #> $ regr : chr [1:2] "response" "se" #> learner_properties : List of 2 #> $ classif: chr [1:7] "missings" "weights" "parallel" "twoclass" ... #> $ regr : chr [1:5] "missings" "weights" "parallel" "importance" ... #> log_classes : chr [1:3] "output" "warning" "error" #> task_col_roles : List of 2 #> $ regr : chr [1:5] "feature" "target" "order" "group" ... #> $ classif: chr [1:5] "feature" "target" "order" "group" ... #> task_feature_types : Named chr [1:6] "logical" "integer" "numeric" "character" "factor" ... #> task_properties : List of 2 #> $ classif: chr [1:3] "weights" "twoclass" "multiclass" #> $ regr : chr "weights" #> task_row_roles : chr [1:2] "use" "validation" #> task_types : chr [1:2] "regr" "classif"