humancompatible.detect.data_handler.features.Binary module

class humancompatible.detect.data_handler.features.Binary.Binary(training_vals: ndarray | Series, value_names: list[int | str] | None = None, name: str | None = None, monotone: Monotonicity = Monotonicity.NONE, modifiable: bool = True)

Bases: Feature

allowed_change(pre_val: int | str, post_val: int | str, encoded=True) → bool

Checks whether value change from pre_val to post_val is allowed by mutability and similar properties

decode(vals: ndarray[float64], denormalize: bool = True, return_series: bool = True, discretize: bool = False) → ndarray | Series

Take a flat 0/1 column (or array) and map back to the two original category values.

encode(vals: ndarray | Series, *args, **kwargs)

Encodes the vals

encoding_width(one_hot: bool) → int

Returns the width of the encoded values, i.e., the size in teh second dimension (axis 1)

property value_mapping: dict[int | str, int]