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pycma

PYCMAOptimizer

Bases: OptimizerBase

defaultOptions class-attribute instance-attribute 

defaultOptions: Dict = dict(min_iterations=10, n_jobs=1, verb_disp=100)

options instance-attribute 

options: PYCMAOptimizerOptions

stds class-attribute instance-attribute 

stds: ndarray | None = None

Standard deviations

callback 

callback(x: 'CMAEvolutionStrategy')

optimize 

optimize() -> PYCMAOptimizerResult

setup 

setup()

PYCMAOptimizerOptions

Bases: OptimizerOptions

AdaptSigma instance-attribute 

AdaptSigma: bool

BoundaryHandler instance-attribute 

BoundaryHandler: str

CMA_active instance-attribute 

CMA_active: bool

CMA_active_injected instance-attribute 

CMA_active_injected: float

CMA_cmean instance-attribute 

CMA_cmean: float

CMA_const_trace instance-attribute 

CMA_const_trace: bool

CMA_dampfac instance-attribute 

CMA_dampfac: float

CMA_dampsvec_fac instance-attribute 

CMA_dampsvec_fac: float

CMA_dampsvec_fade instance-attribute 

CMA_dampsvec_fade: float

CMA_diagonal instance-attribute 

CMA_diagonal: float

CMA_eigenmethod instance-attribute 

CMA_eigenmethod: Callable

CMA_elitist instance-attribute 

CMA_elitist: bool

CMA_injections_threshold_keep_len instance-attribute 

CMA_injections_threshold_keep_len: float

CMA_mirrormethod instance-attribute 

CMA_mirrormethod: int

CMA_mirrors instance-attribute 

CMA_mirrors: bool

CMA_mu instance-attribute 

CMA_mu: int

CMA_on instance-attribute 

CMA_on: float

CMA_rankmu instance-attribute 

CMA_rankmu: float

CMA_rankone instance-attribute 

CMA_rankone: float

CMA_recombination_weights class-attribute instance-attribute 

CMA_recombination_weights: Tuple = (None,)

CMA_sampler instance-attribute 

CMA_sampler: Type

CMA_sampler_options instance-attribute 

CMA_sampler_options: dict

CMA_stds instance-attribute 

CMA_stds: ndarray

CMA_teststds instance-attribute 

CMA_teststds: ndarray

CSA_clip_length_value instance-attribute 

CSA_clip_length_value: Tuple[float, float]

CSA_damp_mueff_exponent instance-attribute 

CSA_damp_mueff_exponent: float

CSA_disregard_length instance-attribute 

CSA_disregard_length: bool

CSA_squared instance-attribute 

CSA_squared: bool

bounds instance-attribute 

bounds: Tuple[float | Iterable[float], float | Iterable[float]]

conditioncov_alleviate instance-attribute 

conditioncov_alleviate: Tuple[float, float]

eval_final_mean instance-attribute 

eval_final_mean: bool

fixed_variables instance-attribute 

fixed_variables: Dict[int, float]

ftarget instance-attribute 

ftarget: float

integer_variables instance-attribute 

integer_variables: List[int]

is_feasible instance-attribute 

is_feasible: Callable

maxfevals instance-attribute 

maxfevals: int

maxiter instance-attribute 

maxiter: int

maxstd instance-attribute 

maxstd: float | Iterable[float]

mean_shift_line_samples instance-attribute 

mean_shift_line_samples: bool

min_iterations instance-attribute 

min_iterations: int

mindx instance-attribute 

mindx: float

minstd instance-attribute 

minstd: float | Iterable[float]

n_jobs instance-attribute 

n_jobs: int

pc_line_samples instance-attribute 

pc_line_samples: bool

popsize instance-attribute 

popsize: int

popsize_factor instance-attribute 

popsize_factor: float

randn instance-attribute 

randn: Callable

scaling_of_variables instance-attribute 

scaling_of_variables: Iterable[float]

seed instance-attribute 

seed: int

signals_filename instance-attribute 

signals_filename: str

termination_callback instance-attribute 

termination_callback: Union[Callable, Iterable[Callable]]

timeout instance-attribute 

timeout: float

tolconditioncov instance-attribute 

tolconditioncov: float

tolfacupx instance-attribute 

tolfacupx: float

tolflatfitness instance-attribute 

tolflatfitness: int

tolfun instance-attribute 

tolfun: float

tolfunhist instance-attribute 

tolfunhist: float

tolfunrel instance-attribute 

tolfunrel: float

tolstagnation instance-attribute 

tolstagnation: int

tolupsigma instance-attribute 

tolupsigma: float

tolx instance-attribute 

tolx: float

transformation instance-attribute 

transformation: tuple

typical_x instance-attribute 

typical_x: Iterable[float]

updatecovwait instance-attribute 

updatecovwait: int

verb_append instance-attribute 

verb_append: int

verb_disp instance-attribute 

verb_disp: int

verb_filenameprefix instance-attribute 

verb_filenameprefix: str

verb_log instance-attribute 

verb_log: int

verb_log_expensive instance-attribute 

verb_log_expensive: int

verb_plot instance-attribute 

verb_plot: int

verb_time instance-attribute 

verb_time: bool

verbose instance-attribute 

verbose: int

vv instance-attribute 

vv: dict

PYCMAOptimizerResult

Bases: OptimizerResult

Optimize result for PYCMA package, just for annotation

evals_best class-attribute instance-attribute 

evals_best: int = 0

number of function evaluations

sigma class-attribute instance-attribute 

sigma: float = 0.0

overall standard deviation

stop class-attribute instance-attribute 

stop: Dict[str, Any] = {}

stop message