mlrl.boosting.testbed.experiments.output.probability_calibration.model_no module

Author: Michael Rapp (michael.rapp.ml@gmail.com)

Provides classes for representing models for the calibration of probabilities that do not actually calibrate any probabilities.

class mlrl.boosting.testbed.experiments.output.probability_calibration.model_no.NoCalibrationModel(properties: TabularProperties, context: Context = Context(include_dataset_type=True, include_prediction_scope=True, include_fold=True))

Bases: TabularOutputData

Represents a model for the calibration of probabilities that does not actually calibrate any probabilities.

to_table(_: Options, **kwargs) → Table | None

See mlrl.testbed.experiments.output.data.TabularOutputData.to_table()

to_text(_: Options, **kwargs) → str | None

See mlrl.testbed.experiments.output.data.TextualOutputData.to_text()