alibi.utils.discretizer

Discretizer

Constructor

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

Name	Type	Default	Description
data	numpy.ndarray		Data to discretize.
numerical_features	List[int]		List of indices corresponding to the continuous feature columns. Only these features will be discretized.
feature_names	List[str]		List with feature names.
percentiles	Sequence[Union[int, float]]	(25, 50, 75)	Percentiles used for discretization.

Methods

bins

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

Name	Type	Default	Description
data	numpy.ndarray		Data to discretize.

Returns

• Type: List[numpy.ndarray]

discretize

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

Name	Type	Default	Description
data	numpy.ndarray		Data to discretize.

Returns

• Type: numpy.ndarray

get_percentiles

get_percentiles(x: numpy.ndarray, qts: numpy.ndarray) -> numpy.ndarray

Name	Type	Default	Description
x	numpy.ndarray		A numpy array of data to be discretized
qts	numpy.ndarray		A numpy array of percentiles. This should be a 1-D array sorted in ascending order.

Returns

• Type: numpy.ndarray