alibi.explainers.anchors.anchor_explanation

AnchorExplanation

Constructor

AnchorExplanation(self, exp_type: str, exp_map: dict) -> None

Name	Type	Default	Description
exp_type	str		Type of explainer: tabular, text or image.
exp_map	dict		Dictionary with the anchors and explainer metadata for an observation.

Methods

coverage

coverage(partial_index: Optional[int] = None) -> float

Name	Type	Default	Description
partial_index	Optional[int]	None	Get the result coverage until a certain index. For example, if the result has precisions [0.1, 0.5, 0.95] and partial_index=1, this will return 0.5.

Returns

• Type: float

examples

examples(only_different_prediction: bool = False, only_same_prediction: bool = False, partial_index: Optional[int] = None) -> Union[list, numpy.ndarray]

Name	Type	Default	Description
only_different_prediction	bool	False	If True, will only return examples where the result makes a different prediction than the original model.
only_same_prediction	bool	False	If True, will only return examples where the result makes the same prediction than the original model.
partial_index	Optional[int]	None	Get the examples from the partial result until a certain index.

Returns

• Type: Union[list, numpy.ndarray]

features

features(partial_index: Optional[int] = None) -> list

Name	Type	Default	Description
partial_index	Optional[int]	None	Get the result until a certain index. For example, if the result uses segment_labels=(1, 2, 3) and partial_index=1, this will return [1, 2].

Returns

• Type: list

names

names(partial_index: Optional[int] = None) -> list

Name	Type	Default	Description
partial_index	Optional[int]	None	Get the result until a certain index. For example, if the result is (A=1, B=2, C=2) and partial_index=1, this will return ["A=1", "B=2"].

Returns

• Type: list

precision

precision(partial_index: Optional[int] = None) -> float

Name	Type	Default	Description
partial_index	Optional[int]	None	Get the result precision until a certain index. For example, if the result has precisions [0.1, 0.5, 0.95] and partial_index=1, this will return 0.5.

Returns

• Type: float