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)[source]
Bases:
AbstractEstimatorResult
Creates a new DriftResult instance.
- Parameters:
results_data (pd.DataFrame) – The result data of the performed calculation.