| |
- builtins.object
-
- Entity
- EntityElement
- EntityElementCreator
- EntityElementsEqual
- EntityRandomizer
-
- DiscreteRandomizer
- PositionSpecificRandomizer
-
- Mutate1Randomizer
- FitnessFunction
- GeneticAlgorithmBase
-
- GeneticAlgorithm
- Vec1Hash
- rosetta.utility.factory.WidgetFactory_protocols_genetic_algorithm_EntityElementCreator_t(builtins.object)
-
- EntityElementFactory
class Entity(builtins.object) |
|
Entity: a vector of EntityElements used to describe the state for a system
under optimization. |
|
Methods defined here:
- __eq__(...) from builtins.PyCapsule
- __eq__(self : rosetta.protocols.genetic_algorithm.Entity, other : rosetta.protocols.genetic_algorithm.Entity) -> bool
- __init__(...) from builtins.PyCapsule
- __init__(*args, **kwargs)
Overloaded function.
1. __init__(handle) -> NoneType
2. __init__(handle, rosetta.protocols.genetic_algorithm.Entity) -> NoneType
3. __init__(self : handle, line : str) -> NoneType
- __new__(*args, **kwargs) from builtins.type
- Create and return a new object. See help(type) for accurate signature.
- __str__(...) from builtins.PyCapsule
- __str__(rosetta.protocols.genetic_algorithm.Entity) -> str
- assign(...) from builtins.PyCapsule
- assign(self : rosetta.protocols.genetic_algorithm.Entity, : rosetta.protocols.genetic_algorithm.Entity) -> rosetta.protocols.genetic_algorithm.Entity
- clone(...) from builtins.PyCapsule
- clone(rosetta.protocols.genetic_algorithm.Entity) -> rosetta.protocols.genetic_algorithm.Entity
- fitness(...) from builtins.PyCapsule
- fitness(rosetta.protocols.genetic_algorithm.Entity) -> float
- fitness_valid(...) from builtins.PyCapsule
- fitness_valid(rosetta.protocols.genetic_algorithm.Entity) -> bool
- set_entity_element(...) from builtins.PyCapsule
- set_entity_element(self : rosetta.protocols.genetic_algorithm.Entity, index : int, element : rosetta.protocols.genetic_algorithm.EntityElement) -> NoneType
- set_fitness(...) from builtins.PyCapsule
- set_fitness(self : rosetta.protocols.genetic_algorithm.Entity, val : float) -> NoneType
- set_traits(...) from builtins.PyCapsule
- set_traits(self : rosetta.protocols.genetic_algorithm.Entity, traits : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> NoneType
- set_traits_size(...) from builtins.PyCapsule
- set_traits_size(self : rosetta.protocols.genetic_algorithm.Entity, size : int) -> NoneType
- to_string(...) from builtins.PyCapsule
- to_string(rosetta.protocols.genetic_algorithm.Entity) -> str
- traits(...) from builtins.PyCapsule
- traits(rosetta.protocols.genetic_algorithm.Entity) -> rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t
- traits_string(...) from builtins.PyCapsule
- traits_string(rosetta.protocols.genetic_algorithm.Entity) -> str
|
class GeneticAlgorithm(GeneticAlgorithmBase) |
| |
- Method resolution order:
- GeneticAlgorithm
- GeneticAlgorithmBase
- builtins.object
Methods defined here:
- __init__(...) from builtins.PyCapsule
- __init__(*args, **kwargs)
Overloaded function.
1. __init__(handle) -> NoneType
2. __init__(handle, rosetta.protocols.genetic_algorithm.GeneticAlgorithm) -> NoneType
- __new__(*args, **kwargs) from builtins.type
- Create and return a new object. See help(type) for accurate signature.
- assign(...) from builtins.PyCapsule
- assign(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithm, : rosetta.protocols.genetic_algorithm.GeneticAlgorithm) -> rosetta.protocols.genetic_algorithm.GeneticAlgorithm
- evaluate_fitnesses(...) from builtins.PyCapsule
- evaluate_fitnesses(rosetta.protocols.genetic_algorithm.GeneticAlgorithm) -> NoneType
- set_func(...) from builtins.PyCapsule
- set_func(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithm, f : rosetta.protocols.genetic_algorithm.FitnessFunction) -> NoneType
Data descriptors defined here:
- fitness_function_
Methods inherited from GeneticAlgorithmBase:
- add_entity(...) from builtins.PyCapsule
- add_entity(*args, **kwargs)
Overloaded function.
1. add_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, traits : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> rosetta.protocols.genetic_algorithm.Entity
2. add_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, entity : rosetta.protocols.genetic_algorithm.Entity) -> rosetta.protocols.genetic_algorithm.Entity
- add_parent_entity(...) from builtins.PyCapsule
- add_parent_entity(*args, **kwargs)
Overloaded function.
1. add_parent_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, traits : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> rosetta.protocols.genetic_algorithm.Entity
2. add_parent_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, entity : rosetta.protocols.genetic_algorithm.Entity) -> rosetta.protocols.genetic_algorithm.Entity
- add_parents_from_current_generation(...) from builtins.PyCapsule
- add_parents_from_current_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
- best_fitness_from_current_generation(...) from builtins.PyCapsule
- best_fitness_from_current_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> float
- clear_parents(...) from builtins.PyCapsule
- clear_parents(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
- complete(...) from builtins.PyCapsule
- complete(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
- curr_gen_entity(...) from builtins.PyCapsule
- curr_gen_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, index : int) -> rosetta.protocols.genetic_algorithm.Entity
retreive a particular entity for the current generation
- current_generation(...) from builtins.PyCapsule
- current_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
- current_generation_begin(...) from builtins.PyCapsule
- current_generation_begin(*args, **kwargs)
Overloaded function.
1. current_generation_begin(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity>*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
2. current_generation_begin(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity> const*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
- current_generation_complete(...) from builtins.PyCapsule
- current_generation_complete(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
- current_generation_end(...) from builtins.PyCapsule
- current_generation_end(*args, **kwargs)
Overloaded function.
1. current_generation_end(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity>*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
2. current_generation_end(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity> const*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
- entities_checkpoint_filename(...) from builtins.PyCapsule
- entities_checkpoint_filename(*args, **kwargs)
Overloaded function.
1. entities_checkpoint_filename(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> str
2. entities_checkpoint_filename(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, suffix : str) -> str
- entity_template(...) from builtins.PyCapsule
- entity_template(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> rosetta.protocols.genetic_algorithm.Entity
- evolve_next_generation(...) from builtins.PyCapsule
- evolve_next_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
- fill_by_crossover(...) from builtins.PyCapsule
- fill_by_crossover(*args, **kwargs)
Overloaded function.
1. fill_by_crossover(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
2. fill_by_crossover(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
- fill_by_mutation(...) from builtins.PyCapsule
- fill_by_mutation(*args, **kwargs)
Overloaded function.
1. fill_by_mutation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
2. fill_by_mutation(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
- fill_with_perturbations_of_existing_entities(...) from builtins.PyCapsule
- fill_with_perturbations_of_existing_entities(*args, **kwargs)
Overloaded function.
1. fill_with_perturbations_of_existing_entities(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
2. fill_with_perturbations_of_existing_entities(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
- fill_with_random_entities(...) from builtins.PyCapsule
- fill_with_random_entities(*args, **kwargs)
Overloaded function.
1. fill_with_random_entities(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
2. fill_with_random_entities(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
- fraction_by_recombination(...) from builtins.PyCapsule
- fraction_by_recombination(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> float
- generations(...) from builtins.PyCapsule
- generations(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> rosetta.utility.vector1_utility_vector1_std_shared_ptr_protocols_genetic_algorithm_Entity_std_allocator_std_shared_ptr_protocols_genetic_algorithm_Entity_t
- generations_checkpoint_filename(...) from builtins.PyCapsule
- generations_checkpoint_filename(*args, **kwargs)
Overloaded function.
1. generations_checkpoint_filename(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> str
2. generations_checkpoint_filename(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, suffix : str) -> str
- max_generations(...) from builtins.PyCapsule
- max_generations(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
- max_population_size(...) from builtins.PyCapsule
- max_population_size(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
- new_entity(...) from builtins.PyCapsule
- new_entity(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> rosetta.protocols.genetic_algorithm.Entity
- number_to_propagate(...) from builtins.PyCapsule
- number_to_propagate(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
- population(...) from builtins.PyCapsule
- population(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, gen_num : int) -> rosetta.utility.vector1_std_shared_ptr_const_protocols_genetic_algorithm_Entity_t
true const (read-only) access to entity population: new vector of const pointers
- propagate_best_from_previous_generation(...) from builtins.PyCapsule
- propagate_best_from_previous_generation(*args, **kwargs)
Overloaded function.
1. propagate_best_from_previous_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
2. propagate_best_from_previous_generation(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
3. propagate_best_from_previous_generation(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int, unique : bool) -> NoneType
- read_checkpoint(...) from builtins.PyCapsule
- read_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
- read_entities_checkpoint(...) from builtins.PyCapsule
- read_entities_checkpoint(*args, **kwargs)
Overloaded function.
1. read_entities_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
for checkpointing fitness cache
2. read_entities_checkpoint(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, overwrite : bool) -> bool
for checkpointing fitness cache
- read_generations_checkpoint(...) from builtins.PyCapsule
- read_generations_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
- rename_checkpoint_files(...) from builtins.PyCapsule
- rename_checkpoint_files(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
allows the prevention of accidental reuse of checkpoint files
- set_checkpoint_gzip(...) from builtins.PyCapsule
- set_checkpoint_gzip(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, b : bool) -> NoneType
- set_checkpoint_prefix(...) from builtins.PyCapsule
- set_checkpoint_prefix(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, p : str) -> NoneType
- set_checkpoint_rename(...) from builtins.PyCapsule
- set_checkpoint_rename(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, b : bool) -> NoneType
- set_checkpoint_write_interval(...) from builtins.PyCapsule
- set_checkpoint_write_interval(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, i : int) -> NoneType
- set_entity_template(...) from builtins.PyCapsule
- set_entity_template(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, entity : rosetta.protocols.genetic_algorithm.Entity) -> NoneType
- set_frac_by_recomb(...) from builtins.PyCapsule
- set_frac_by_recomb(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, f : float) -> NoneType
- set_max_generations(...) from builtins.PyCapsule
- set_max_generations(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, s : int) -> NoneType
- set_max_pop_size(...) from builtins.PyCapsule
- set_max_pop_size(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, s : int) -> NoneType
- set_num_to_propagate(...) from builtins.PyCapsule
- set_num_to_propagate(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, s : int) -> NoneType
- set_rand(...) from builtins.PyCapsule
- set_rand(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, r : rosetta.protocols.genetic_algorithm.EntityRandomizer) -> NoneType
- tournament_select(...) from builtins.PyCapsule
- tournament_select(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, pvec : rosetta.utility.vector1_std_shared_ptr_const_protocols_genetic_algorithm_Entity_t) -> rosetta.protocols.genetic_algorithm.Entity
- write_entities_checkpoint(...) from builtins.PyCapsule
- write_entities_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
for checkpointing fitness cache
- write_generations_checkpoint(...) from builtins.PyCapsule
- write_generations_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
|
class GeneticAlgorithmBase(builtins.object) |
| |
Methods defined here:
- __init__(...) from builtins.PyCapsule
- __init__(*args, **kwargs)
Overloaded function.
1. __init__(handle) -> NoneType
2. __init__(handle, rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
- __new__(*args, **kwargs) from builtins.type
- Create and return a new object. See help(type) for accurate signature.
- add_entity(...) from builtins.PyCapsule
- add_entity(*args, **kwargs)
Overloaded function.
1. add_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, traits : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> rosetta.protocols.genetic_algorithm.Entity
2. add_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, entity : rosetta.protocols.genetic_algorithm.Entity) -> rosetta.protocols.genetic_algorithm.Entity
- add_parent_entity(...) from builtins.PyCapsule
- add_parent_entity(*args, **kwargs)
Overloaded function.
1. add_parent_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, traits : rosetta.utility.vector1_std_shared_ptr_protocols_genetic_algorithm_EntityElement_t) -> rosetta.protocols.genetic_algorithm.Entity
2. add_parent_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, entity : rosetta.protocols.genetic_algorithm.Entity) -> rosetta.protocols.genetic_algorithm.Entity
- add_parents_from_current_generation(...) from builtins.PyCapsule
- add_parents_from_current_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
- assign(...) from builtins.PyCapsule
- assign(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase
- best_fitness_from_current_generation(...) from builtins.PyCapsule
- best_fitness_from_current_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> float
- clear_parents(...) from builtins.PyCapsule
- clear_parents(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
- complete(...) from builtins.PyCapsule
- complete(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
- curr_gen_entity(...) from builtins.PyCapsule
- curr_gen_entity(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, index : int) -> rosetta.protocols.genetic_algorithm.Entity
retreive a particular entity for the current generation
- current_generation(...) from builtins.PyCapsule
- current_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
- current_generation_begin(...) from builtins.PyCapsule
- current_generation_begin(*args, **kwargs)
Overloaded function.
1. current_generation_begin(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity>*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
2. current_generation_begin(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity> const*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
- current_generation_complete(...) from builtins.PyCapsule
- current_generation_complete(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
- current_generation_end(...) from builtins.PyCapsule
- current_generation_end(*args, **kwargs)
Overloaded function.
1. current_generation_end(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity>*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
2. current_generation_end(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> __gnu_cxx::__normal_iterator<std::shared_ptr<protocols::genetic_algorithm::Entity> const*, std::vector<std::shared_ptr<protocols::genetic_algorithm::Entity>, std::allocator<std::shared_ptr<protocols::genetic_algorithm::Entity> > > >
- entities_checkpoint_filename(...) from builtins.PyCapsule
- entities_checkpoint_filename(*args, **kwargs)
Overloaded function.
1. entities_checkpoint_filename(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> str
2. entities_checkpoint_filename(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, suffix : str) -> str
- entity_template(...) from builtins.PyCapsule
- entity_template(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> rosetta.protocols.genetic_algorithm.Entity
- evolve_next_generation(...) from builtins.PyCapsule
- evolve_next_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
- fill_by_crossover(...) from builtins.PyCapsule
- fill_by_crossover(*args, **kwargs)
Overloaded function.
1. fill_by_crossover(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
2. fill_by_crossover(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
- fill_by_mutation(...) from builtins.PyCapsule
- fill_by_mutation(*args, **kwargs)
Overloaded function.
1. fill_by_mutation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
2. fill_by_mutation(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
- fill_with_perturbations_of_existing_entities(...) from builtins.PyCapsule
- fill_with_perturbations_of_existing_entities(*args, **kwargs)
Overloaded function.
1. fill_with_perturbations_of_existing_entities(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
2. fill_with_perturbations_of_existing_entities(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
- fill_with_random_entities(...) from builtins.PyCapsule
- fill_with_random_entities(*args, **kwargs)
Overloaded function.
1. fill_with_random_entities(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
2. fill_with_random_entities(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
- fraction_by_recombination(...) from builtins.PyCapsule
- fraction_by_recombination(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> float
- generations(...) from builtins.PyCapsule
- generations(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> rosetta.utility.vector1_utility_vector1_std_shared_ptr_protocols_genetic_algorithm_Entity_std_allocator_std_shared_ptr_protocols_genetic_algorithm_Entity_t
- generations_checkpoint_filename(...) from builtins.PyCapsule
- generations_checkpoint_filename(*args, **kwargs)
Overloaded function.
1. generations_checkpoint_filename(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> str
2. generations_checkpoint_filename(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, suffix : str) -> str
- max_generations(...) from builtins.PyCapsule
- max_generations(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
- max_population_size(...) from builtins.PyCapsule
- max_population_size(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
- new_entity(...) from builtins.PyCapsule
- new_entity(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> rosetta.protocols.genetic_algorithm.Entity
- number_to_propagate(...) from builtins.PyCapsule
- number_to_propagate(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> int
- population(...) from builtins.PyCapsule
- population(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, gen_num : int) -> rosetta.utility.vector1_std_shared_ptr_const_protocols_genetic_algorithm_Entity_t
true const (read-only) access to entity population: new vector of const pointers
- propagate_best_from_previous_generation(...) from builtins.PyCapsule
- propagate_best_from_previous_generation(*args, **kwargs)
Overloaded function.
1. propagate_best_from_previous_generation(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
2. propagate_best_from_previous_generation(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int) -> NoneType
3. propagate_best_from_previous_generation(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, size : int, unique : bool) -> NoneType
- read_checkpoint(...) from builtins.PyCapsule
- read_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
- read_entities_checkpoint(...) from builtins.PyCapsule
- read_entities_checkpoint(*args, **kwargs)
Overloaded function.
1. read_entities_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
for checkpointing fitness cache
2. read_entities_checkpoint(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, overwrite : bool) -> bool
for checkpointing fitness cache
- read_generations_checkpoint(...) from builtins.PyCapsule
- read_generations_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
- rename_checkpoint_files(...) from builtins.PyCapsule
- rename_checkpoint_files(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> NoneType
allows the prevention of accidental reuse of checkpoint files
- set_checkpoint_gzip(...) from builtins.PyCapsule
- set_checkpoint_gzip(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, b : bool) -> NoneType
- set_checkpoint_prefix(...) from builtins.PyCapsule
- set_checkpoint_prefix(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, p : str) -> NoneType
- set_checkpoint_rename(...) from builtins.PyCapsule
- set_checkpoint_rename(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, b : bool) -> NoneType
- set_checkpoint_write_interval(...) from builtins.PyCapsule
- set_checkpoint_write_interval(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, i : int) -> NoneType
- set_entity_template(...) from builtins.PyCapsule
- set_entity_template(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, entity : rosetta.protocols.genetic_algorithm.Entity) -> NoneType
- set_frac_by_recomb(...) from builtins.PyCapsule
- set_frac_by_recomb(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, f : float) -> NoneType
- set_max_generations(...) from builtins.PyCapsule
- set_max_generations(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, s : int) -> NoneType
- set_max_pop_size(...) from builtins.PyCapsule
- set_max_pop_size(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, s : int) -> NoneType
- set_num_to_propagate(...) from builtins.PyCapsule
- set_num_to_propagate(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, s : int) -> NoneType
- set_rand(...) from builtins.PyCapsule
- set_rand(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, r : rosetta.protocols.genetic_algorithm.EntityRandomizer) -> NoneType
- tournament_select(...) from builtins.PyCapsule
- tournament_select(self : rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase, pvec : rosetta.utility.vector1_std_shared_ptr_const_protocols_genetic_algorithm_Entity_t) -> rosetta.protocols.genetic_algorithm.Entity
- write_entities_checkpoint(...) from builtins.PyCapsule
- write_entities_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
for checkpointing fitness cache
- write_generations_checkpoint(...) from builtins.PyCapsule
- write_generations_checkpoint(rosetta.protocols.genetic_algorithm.GeneticAlgorithmBase) -> bool
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