nannyml.performance_estimation.direct_loss_estimation.result module

class nannyml.performance_estimation.direct_loss_estimation.result.Result(results_data: DataFrame, metrics: List[Metric], feature_column_names: List[str], y_pred: str, y_true: str, chunker: Chunker, tune_hyperparameters: bool, hyperparameter_tuning_config: Dict[str, Any], hyperparameters: Optional[Dict[str, Any]], timestamp_column_name: Optional[str] = None)

Bases: AbstractEstimatorResult

Creates a new DriftResult instance.

Parameters:

results_data (pd.DataFrame) – The result data of the performed calculation.

plot(kind: str = 'performance', metric: Optional[Union[str, Metric]] = None, plot_reference: bool = False, *args, **kwargs) → Figure

Plot drift results.