culebra.solution.feature_selection.Ant class

class Ant(species: Species, fitness_cls: type[Fitness], features: Sequence[int] | None = None)

Bases: IntSolution, Ant

Construct a default solution.

Parameters:

  • species (Species) – The species the solution will belong to

  • fitness_cls (type[Fitness]) – The solution’s fitness class

  • features (Sequence[int]) – Initial features

Raises:

  • TypeError – If species is not a valid species

  • TypeError – If fitness_cls is not a valid fitness class

Class attributes

Ant.species_cls = <class 'culebra.solution.feature_selection.Species'>

Class for the species used by the Solution class to constrain all its instances.

Class methods

classmethod Ant.load(filename: str) → Base

Load a serialized object from a file.

Parameters:

filename (str) – The file name.

Returns:

The loaded object

Raises:

Properties

property Ant.current: int

Current node in the path.

Return type:

int

property Ant.discarded: ndarray[int]

Nodes discarded by the ant.

Return type:

ndarray[int]

property Ant.features: ndarray[int]

Features selected by the ant

Returns:

Return an ordered sequence with the indices of the selected features. Use path to get the path in the order the ant traveled it

Return type:

ndarray[int]

Setter:

Set a new set of selected features

Parameters:

values (Sequence[int]) – The indices of the new features

Raises:

ValueError – If set to new feature indices values which do not meet the species constraints.

property Ant.fitness: Fitness

Solution’s fitness.

Return type:

Fitness

Setter:

Set a new Fitness

Parameters:

value (Fitness) – The new fitness

property Ant.max_feat: int | None

Maximum feature index selected by the solution.

Returns:

The maximum feature index or None if no feature has been selected

Return type:

int

property Ant.min_feat: int | None

Minimum feature index selected by the solution.

Returns:

The minimum feature index or None if no feature has been selected

Return type:

int

property Ant.num_feats: int

Number of features selected by the solution.

Return type:

int

property Ant.path: ndarray[int]

Path traveled by the ant.

Return type:

ndarray[int]

property Ant.species: Species

Solution’s species.

Return type:

Species

Methods

Ant.append(feature: int) → None

Append a new feature to the ant’s path.

Parameters:

feature (int) – The feature index

Raises:

  • TypeError – If feature is not an integer number

  • ValueError – If feature does not meet the species constraints.

  • ValueError – If feature is already in the path or has been previously discarded

Ant.delete_fitness() → None

Delete the solution’s fitness.

Ant.discard(feature: int) → None

Discard a feature.

The discarded feature is not appended to the ant’s path.

Parameters:

feature (int) – The feature index

Raises:

  • TypeError – If feature is not an integer number

  • ValueError – If feature is already in the path or has been previously discarded

Ant.dominates(other: Solution) → bool

Dominate operator.

Parameters:

other (Solution) – Other solution

Returns:

True if each objective of the solution is not strictly worse than the corresponding objective of other and at least one objective is strictly better.

Return type:

bool

Ant.dump(filename: str) → None

Serialize this object and save it to a file.

Parameters:

filename (str) – The file name.

Raises:

Private methods

Ant._setup() → None

Set the default path for ants.

An empty path is set.

Dunder methods

Intended to compare (lexicographically) two ants according to their fitness.

Ant.__eq__(other: Solution) → bool

Equality test.

Parameters:

other (Solution) – Other solution

Returns:

True if other codes the same solution, or False otherwise

Return type:

bool

Ant.__ge__(other: Solution) → bool

Greater than or equal to operator.

Parameters:

other (Solution) – Other solution

Returns:

True if the solution’s fitness is greater than or equal to the other’s fitness

Return type:

bool

Ant.__gt__(other: Solution) → bool

Greater than operator.

Parameters:

other (Solution) – Other solution

Returns:

True if the solution’s fitness is greater than the other’s fitness

Return type:

bool

Ant.__hash__() → int

Return the hash number for this solution.

The hash number is used for equality comparisons. Currently is implemented as the hash of the solution’s string representation.

Return type:

int

Ant.__le__(other: Solution) → bool

Less than or equal to operator.

Parameters:

other (Solution) – Other solution

Returns:

True if the solution’s fitness is less than or equal to the other’s fitness

Return type:

bool

Ant.__lt__(other: Solution) → bool

Less than operator.

Parameters:

other (Solution) – Other solution

Returns:

True if the solution’s fitness is less than the other’s fitness

Return type:

bool

Ant.__ne__(other: Solution) → bool

Not equality test.

Parameters:

other (Solution) – Other solution

Returns:

False if other codes the same solutions, or True otherwise

Return type:

bool

Ant.__str__() → str

Solution as a string.

Return type:

str