Options

class aixd.data.Options(array: List, type: str = 'categorical')[source]

Bases: Domain

Defines a set of options, e.g., for categorical variables.

Parameters:

array (List) – The list of options.
type (str, optional, default=”categorical”) – The type of the domain. Can be “categorical”, “ordinal”, “integer”, “any”.

Methods

`check_domain_consistency`	Checks if the data is within the domain.
`copy`	Returns a copy of the instance.
`domain_to_normalised`	Maps from discrete values to a range [0, 1] by attributing an equal share of the range to each of the possible options of the domain.
`grid_samples`	Returns samples chosen with grid sampling from the domain.
`normalised_to_domain`	Maps from a distribution in [0, 1] to [0, len(self.array)] and is then rounded to serve as indices for discretisation.
`random_samples`	Returns samples chosen with random sampling from the domain.
`sample_around`	Returns samples chosen with a sample around strategy from the domain.
`update_domain`	Updates the domain according to the given data.