alibi_detect.utils.discretizer

Discretizer

Constructor

Discretizer(self, data: numpy.ndarray, categorical_features: List[int], feature_names: List[str], percentiles: List[int] = [25, 50, 75]) -> None

Name	Type	Default	Description
data	numpy.ndarray		Data to discretize
categorical_features	List[int]		List of indices corresponding to the categorical columns. These features will not be discretized. The other features will be considered continuous and therefore discretized.
feature_names	List[str]		List with feature names
percentiles	List[int]	[25, 50, 75]	Percentiles used for discretization

Methods

bins

bins(data: numpy.ndarray) -> List[numpy.ndarray]

Parameters

---

data Data to discretize

Name	Type	Default	Description
data	numpy.ndarray		Data to discretize

Returns

• Type: List[numpy.ndarray]

discretize

discretize(data: numpy.ndarray) -> numpy.ndarray

Parameters

---

data Data to discretize

Name	Type	Default	Description
data	numpy.ndarray		Data to discretize

Returns

• Type: numpy.ndarray