Report#
- class miml.report.report.Report(y_pred: ndarray, label_probs: ndarray, dataset_test: MIMLDataset, metrics: list[str] | None = None, header: bool = True, per_label: bool = True)#
Class to generate a report
- calculate_metrics(beta: int = 0.5)#
Calculate metrics of the predicted data
Parameters#
- betaint, default = 0.5
Beta value for the fbeta_score function
- to_csv(path: str | None = None)#
Print/save data as csv format
Parameters#
- pathstr, default=None
Path to csv where the data would be stored
- to_string()#
Print data as string format