Environment which stores various information to allow objects to examine and introspect their structure and properties (c.f. Reflections).
This environment be modified by third-party packages, e.g. by adding information about new task types or by extending the set of allowed feature types.
The following objects are set by mlr3:
data_formats :: character()
Vectors of supported data formats, e.g. "data.table" or "Matrix".
task_types :: data.table()
Table with task type ("type"), the implementing package ("pkg"), and the names of the generators
of the corresponding Task ("task"), Learner ("learner"),
Prediction ("prediction") and Measure ("measure").
task_feature_types :: named character()
Vector of base R types supported as Task features, named with a 3 letter abbreviation.
task_row_roles :: character()
Vector of supported row roles for a Task.
task_col_roles :: list of character()
List of vectors of supported column roles for a Task, named by their task type.
task_properties :: list of character()
List of vectors of supported Task properties, named by their task type.
learner_properties :: list of character()
List of vectors of supported Learner properties, named by their task type.
learner_predict_types :: list of list of character()
List of lists of supported Learner predict_types, named by their task type.
The inner list translates the "predict_type" to all predict types returned, e.g.
predict type "prob" for a LearnerClassif provides the probabilities as well as the predicted labels, therefore "prob" maps to c("response", "prob").
learner_predict_types :: list of list of character()
List of lists of supported Learner predict_types, named by their task type.
measure_properties :: list of character()
List of vectors of supported Measure properties, named by their task type.
default_measures :: list of character()
List of keys for the default Measures, named by their task type.
rr_names :: character()
Names of the elements of a ResampleResult.
mlr_reflections# NOT RUN {
ls.str(mlr_reflections)
# }
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