dataeval.outputs.DriftMVDCOutput¶

class dataeval.outputs.DriftMVDCOutput(results_data)¶

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 | collections.abc.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()¶

Render the roc_auc metric over the train/test data in relation to the threshold.

Return type:¶

matplotlib.figure.Figure

to_dataframe(multilevel=True)¶

Export results to pandas dataframe.

Parameters:¶

multilevel : bool¶

Return type:¶

pandas.DataFrame