Class wrapping the results of the classifier for drift detection and providing plotting functionality.
- Parameters:
- results_data : pandas.DataFrame
-
-
filter(period=
'all', metrics=None)
Returns filtered result metric data.
- Parameters:
- period : str
-
- metrics : str | Sequence[str] | None
-
- Return type:
typing_extensions.Self
-
meta()
Metadata about the execution of the function or method for the Output class.
- Return type:
ExecutionMetadata
-
plot(showme=
True)
Render the roc_auc metric over the train/test data in relation to the threshold.
- Parameters:
- showme : bool, default True
Option to display the figure.
- Return type:
matplotlib.figure.Figure
-
to_df(multilevel=
True)
Export results to pandas dataframe.
- Parameters:
- multilevel : bool
-
- Return type:
pandas.DataFrame