facet.inspection.ShapPlotData#

class facet.inspection.ShapPlotData(shap_values, sample)[source]#

Data for use in SHAP plots provided by the shap package.

Parameters

shap_values (Union[ndarray[Any, dtype[float64]], List[ndarray[Any, dtype[float64]]]]) – the shap values for all observations and outputs
sample (Sample) – (sub)sample of all observations for which SHAP values are available; aligned with param shap_values

Attribute summary

`features`	Matrix of feature values (number of observations by number of features).
`shap_values`	Matrix of SHAP values (number of observations by number of features) or list of shap value matrices for multi-output models.
`target`	Series of target values (number of observations) or matrix of target values for multi-output models (number of observations by number of outputs).

Definitions

property features: pandas.DataFrame#

Matrix of feature values (number of observations by number of features).

property shap_values: Union[numpy.ndarray[Any, numpy.dtype[numpy.float64]], List[numpy.ndarray[Any, numpy.dtype[numpy.float64]]]]#

Matrix of SHAP values (number of observations by number of features) or list of shap value matrices for multi-output models.

Return type: Union[ndarray[Any, dtype[float64]], List[ndarray[Any, dtype[float64]]]]

Series of target values (number of observations) or matrix of target values for multi-output models (number of observations by number of outputs).

facet.inspection.NativeLearnerInspector

facet.inspection.base