humancompatible.detect.data_handler.features.Mixed module

class humancompatible.detect.data_handler.features.Mixed.Mixed(training_vals: ndarray | Series, categ_value_names: list[int | str], map_to: list[float] | None = None, name: str | None = None, default_val: float = 0, monotone: Monotonicity = Monotonicity.NONE, modifiable: bool = True)

Bases: Feature

property bounds

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

Decodes the vals into the original form

property default_val

property default_val_normalized

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 n_categorical_vals

property numeric_vals

property orig_vals

property value_mapping