cinnamon.plot.drift.plot_drift_importance.plot_model_agnostic_drift_importances

cinnamon.plot.drift.plot_drift_importance.plot_model_agnostic_drift_importances(drift_explainer: ModelDriftExplainer, n: int = 10, type: str = 'mean', prediction_type: str = 'raw', max_ratio: float = 10, max_n_cat: int = 20) → None

Plot drift importances computed using the model agnostic method.

See the documentation in README for explanations about how it is computed, especially the slide presentation.

Parameters

drift_explainer: ModelDriftExplainer

A ModelDriftExplainer object.

type: str, optional (default=”mean”)

Method used for drift importances computation. Choose among: - “mean” - “wasserstein”

See details in slide presentation.

prediction_type: str, optional (default=”raw”)

Choose among: - “raw” - “proba”: predicted probability if task == ‘classification’ - “class”: predicted class if task == ‘classification’

max_ratio: int, optional (default=10)

Only used for categorical features

max_n_cat: int, optional (default=20)

Only used for categorical features

Returns

None