shapiq.explainer.utils#

Functions

`get_explainers`()
`get_predict_function_and_model_type`(model, ...)
`predict_callable`(m, d)
`predict_default`(m, d)
`predict_proba_default`(m, d)
`predict_tf_binary`(m, d)
`predict_tf_first`(m, d)
`predict_tf_single`(m, d)
`predict_xgboost`(m, d)
`print_class`(obj)	Converts a class or class type into a user-readable class name.
`print_classes_nicely`(obj)	Converts a list of classes into user-readable class names.

shapiq.explainer.utils.get_predict_function_and_model_type(model, model_class)[source]#

shapiq.explainer.utils.print_class(obj)[source]#: Converts a class or class type into a user-readable class name. I/O examples: sklearn.ensemble._forest.RandomForestRegressor -> ‘sklearn.ensemble._forest.RandomForestRegressor’ type(sklearn.ensemble._forest.RandomForestRegressor) -> ‘sklearn.ensemble._forest.RandomForestRegressor’ shapiq.explainer.tree.explainer.TreeExplainer -> ‘shapiq.explainer.tree.explainer.TreeExplainer’ shapiq.TreeExplainer -> ‘shapiq.explainer.tree.explainer.TreeExplainer’ type(shapiq.TreeExplainer) -> ‘shapiq.explainer.tree.explainer.TreeExplainer’

shapiq.explainer.utils.print_classes_nicely(obj)[source]#: Converts a list of classes into user-readable class names. I/O examples: [shapiq.explainer._base.Explainer] -> [‘shapiq.Explainer’] {‘tree’: shapiq.explainer.tree.explainer.TreeExplainer} -> [‘shapiq.TreeExplainer’] {‘tree’: shapiq.TreeExplainer} -> [‘shapiq.TreeExplainer’]