stk.Generation

class stk.Generation(fitness_values, mutation_records, crossover_records)[source]

Bases: Generic[T]

An abstract base class for EA generations.

Notes

You might notice that the public methods of this abstract base class are implemented. This is just a default implementation, which you can ignore or override when implementing subclasses.

Parameters:

fitness_values (dict[T, FitnessValues]) – The records of molecules in the generation.
mutation_records (list[MutationRecord[T]]) – The records of mutations done during the generation.
crossover_records (list[CrossoverRecord[T]]) – The records of crossover operations done during the generation.

Methods

`get_crossover_records`	Yield the crossover records in the generation.
`get_fitness_values`	Get the fitness values of the generation.
`get_molecule_records`	Yield the molecule records in the generation.
`get_mutation_records`	Yield the mutation records in the generation.

get_crossover_records()[source]

Yield the crossover records in the generation.

Yields:: A crossover record.
Return type:: Iterator[CrossoverRecord[T]]

get_fitness_values()[source]

Get the fitness values of the generation.

Returns:: The fitness values.
Return type:: dict[T, FitnessValues]

get_molecule_records()[source]

Yield the molecule records in the generation.

Yields:: A molecule record.
Return type:: Iterator[T]

get_mutation_records()[source]

Yield the mutation records in the generation.

Yields:: A mutation record.
Return type:: Iterator[MutationRecord[T]]