def parse_config(cls, param_dict):
return DefaultClassConfig(param_dict,
[ConfigParameter('max_num_states', int, 5),
ConfigParameter('elitism', int, 0),
ConfigParameter('survival_threshold', float, 0.2),
ConfigParameter('min_species_size', int, 2)
])
def parse_config(cls, param_dict):
return DefaultClassConfig(param_dict, [
ConfigParameter('elitism', int, 0),
ConfigParameter('survival_threshold', float, 0.2),
ConfigParameter('min_species_size', int, 2),
ConfigParameter('fitness_min_divisor', float, 1.0)
])
def parse_config(cls, param_dict: Dict[str, str]) -> DefaultClassConfig:
return DefaultClassConfig(
param_dict,
[
ConfigParameter("elitism", int, 0),
ConfigParameter("survival_threshold", float, 0.2),
ConfigParameter("min_species_size", int, 2),
],
)
def parse_config(cls, param_dict):
"""Parse the speciation parameter values
Args:
param_dict (dict): A dictionary of parameter values.
Returns:
DefaultClassConfig: The speciation configuration.
"""
return DefaultClassConfig(
param_dict, [ConfigParameter('compatibility_threshold', float)])
def parse_config(cls, param_dict):
"""
add init and min distance in config.
:param param_dict: parameter dictionary.
:return: config.
"""
return DefaultClassConfig(param_dict, [
ConfigParameter('init_distance', float, 5),
ConfigParameter('min_distance', float, 0.2),
ConfigParameter('correlation_rate', float, -0.5),
ConfigParameter('search_count', int, 1),
ConfigParameter('cluster_method', str, "kmeans++")
])
def parse_config(cls, param_dict):
"""Parses the stagnation configuration parameters.
Config Parameters:
species_fitness_func (str): The function (mean, max) for
aggregating the fitnesses of the members of each species.
max_stagnation (int): The maximum number of generations a
species can stall for before being deemed stagnant.
species_elitism (int): The minimum number of species that should
be retained.
TODO: Refactor `species_elitism` as `min_species`
Args:
param_dict: ...
Returns:
DefaultClassConfig: ...
"""
return DefaultClassConfig(param_dict, [
ConfigParameter('species_fitness_func', str, 'mean'),
ConfigParameter('max_stagnation', int, 15),
ConfigParameter('species_elitism', int, 0)
])
def parse_config(cls, param_dict):
return DefaultClassConfig(param_dict, [])
def parse_config(cls, param_dict):
return DefaultClassConfig(
param_dict, [ConfigParameter('compatibility_threshold', float)])
def parse_config(cls, param_dict: Dict[str, str]) -> DefaultClassConfig:
return DefaultClassConfig(
param_dict, [ConfigParameter("compatibility_threshold", float)])
def parse_config(cls, param_dict: Dict[str, str]) -> DefaultClassConfig:
return DefaultClassConfig(param_dict, [
ConfigParameter('species_fitness_func', str, 'mean'),
ConfigParameter('max_stagnation', int, 15),
ConfigParameter('species_elitism', int, 0)
])
def parse_config(cls, param_dict):
return DefaultClassConfig(param_dict, [
ConfigParameter('species_fitness_func', str, 'mean'),
ConfigParameter('stagnation_split_interval', int, 15)
])
def parse_config(cls, param_dict):
return DefaultClassConfig(param_dict, [
ConfigParameter('elitism', int, 0),
ConfigParameter('min_species_size', int, 2)
])