Environment which stores various information for reflections.

mlr_reflections

Format

An object of class environment of length 12.

Examples

ls.str(mlr_reflections)
#> 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:List of 2 #> $ regr :List of 2 #> learner_properties : List of 2 #> $ classif: chr [1:8] "missings" "weights" "parallel" "importance" ... #> $ regr : chr [1:6] "missings" "weights" "parallel" "importance" ... #> log_classes : chr [1:3] "output" "warning" "error" #> mlr_control_defaults : List of 5 #> $ store_model : logi FALSE #> $ store_prediction : logi TRUE #> $ encapsulate_train : chr "none" #> $ encapsulate_predict: chr "none" #> $ log_threshold : int 400 #> task_col_roles : List of 2 #> $ regr : chr [1:6] "feature" "target" "label" "order" ... #> $ classif: chr [1:6] "feature" "target" "label" "order" ... #> task_data_formats : chr [1:2] "data.table" "Matrix" #> task_feature_types : Named chr [1:6] "logical" "integer" "numeric" "character" "factor" ... #> task_properties : List of 2 #> $ classif: chr [1:4] "weights" "groups" "twoclass" "multiclass" #> $ regr : chr [1:2] "weights" "groups" #> task_row_roles : chr [1:2] "use" "validation" #> task_types : chr [1:2] "regr" "classif"