cma.s.CMAES

Method

__init__

see class CMAEvolutionStrategy

Inherited from CMAEvolutionStrategy:

Method	alleviate_conditioning	pass conditioning of C to linear transformation in self.gp.
Method	alleviate_conditioning_in_coordinates	pass scaling from C to sigma_vec.
Method	ask	get/sample new candidate solutions.
Method	ask_and_eval	sample number solutions and evaluate them on func.
Method	ask_geno	get new candidate solutions in genotyp.
Method	disp	print current state variables in a single-line.
Method	disp_annotation	print annotation line for disp ()
Method	feed_for_resume	Resume a run using the solution history.
Method	get_mirror	return _round_int_variables(pheno(self.mean - (geno(x) - self.mean)))
Method	get_new_mean	return an updated mean based on the input arguments,
Method	get_selective_mirrors	get mirror genotypic directions from worst solutions.
Method	inject	inject list of one or several genotypic solution(s).
Method	limit_integer_relative_deltas	versatile: limit absolute values of int-coordinates in vector list dX
Method	mahalanobis_norm	return Mahalanobis norm based on the current sample distribution.
Method	manage_plateaus	increase sigma by sigma_fac in case of a plateau.
Method	pickle_dumps	return pickle.dumps(self),
Method	plot	plot current state variables using matplotlib.
Method	random_rescale_to_mahalanobis	change x like for injection, all on genotypic level
Method	repair_genotype	make sure that solutions fit to the sample distribution.
Method	reset_options	clear termination and set any CMAOptions passed via
Method	result_pretty	pretty print result.
Method	stop	return the termination status as dictionary.
Method	tell	pass objective function values to prepare for next iteration.
Method	tell2	see tell
Method	to_phenotype	return integer-rounded phenotype depending on round_integer_variables module setting.
Instance Variable	adapt_sigma	Undocumented
Instance Variable	archive	archive solutions processed in tell, not really in use!?
Instance Variable	ary	Undocumented
Instance Variable	augmented_lagrangian	Undocumented
Instance Variable	B	Undocumented
Instance Variable	best	Undocumented
Instance Variable	best_feasible	Undocumented
Instance Variable	boundary_handler	Undocumented
Instance Variable	C	Undocumented
Instance Variable	callbackstop	return values of callbacks, used like if any(callbackstop)
Instance Variable	const	Undocumented
Instance Variable	count_eigen	Undocumented
Instance Variable	countevals	Undocumented
Instance Variable	countiter	Undocumented
Instance Variable	D	Undocumented
Instance Variable	dC	Undocumented
Instance Variable	evaluations_per_f_value	Undocumented
Instance Variable	fit	Undocumented
Instance Variable	gp	Undocumented
Instance Variable	hsiglist	Undocumented
Instance Variable	inopts	Undocumented
Instance Variable	inputargs	Undocumented
Instance Variable	integer_centering	Undocumented
Instance Variable	itereigenupdated	Undocumented
Instance Variable	last_iteration_with_gradient	Undocumented
Instance Variable	logger	Undocumented
Instance Variable	mean	Undocumented
Instance Variable	mean0	Undocumented
Instance Variable	mean_after_tell	Undocumented
Instance Variable	mean_old	Undocumented
Instance Variable	mean_old_old	Undocumented
Instance Variable	mean_shift_samples	Undocumented
Instance Variable	mirrors_idx	Undocumented
Instance Variable	more_to_write	Undocumented
Instance Variable	N	Undocumented
Instance Variable	N_pheno	Undocumented
Instance Variable	noiseS	Undocumented
Instance Variable	number_of_injections	Undocumented
Instance Variable	number_of_injections_delivered	Undocumented
Instance Variable	number_of_solutions_asked	Undocumented
Instance Variable	opts	Undocumented
Instance Variable	pc	Undocumented
Instance Variable	pc2	Undocumented
Instance Variable	pc_neg	Undocumented
Instance Variable	pop	Undocumented
Instance Variable	pop_injection_directions	Undocumented
Instance Variable	pop_injection_solutions	Undocumented
Instance Variable	pop_sorted	Undocumented
Instance Variable	sent_solutions	archive solutions close to the end of ask, this archive is passed to gp.geno to bypass calling the inverse geno-pheno transformation in tell
Instance Variable	sigma	Undocumented
Instance Variable	sigma0	Undocumented
Instance Variable	sigma_vec	Undocumented
Instance Variable	sigma_vec0	Undocumented
Instance Variable	sm	Undocumented
Instance Variable	sp	Undocumented
Instance Variable	sp0	Undocumented
Instance Variable	time_last_displayed	Undocumented
Instance Variable	timer	Undocumented
Instance Variable	times_displayed	Undocumented
Instance Variable	x0	Undocumented
Property	condition_number	condition number of the statistical-model sampler.
Property	isotropic_mean_shift	normalized last mean shift, under random selection N(0,I)
Property	popsize	number of samples by default returned by ask ()
Property	result	return a CMAEvolutionStrategyResult2 class instance.
Property	stds	return array of coordinate-wise standard deviations (phenotypic).
Method	_clean_injected_solutions_archive	return indices of pop which are in self._injected_solutions_archive and
Method	_constraints_handling	return "fake" function_values when constraints_values are given
Method	_copy_light	tentative copy of self, versatile (interface and functionalities may change).
Method	_prepare_injection_directions	provide genotypic directions for TPA and selective mirroring, with no specific length normalization, to be used in the coming iteration.
Method	_random_rescaling_factor_to_mahalanobis_size	self.mean + self._random_rescaling_factor_to_mahalanobis_size(y) * y is guarantied to appear like from the sample distribution.
Method	_record_rankings	do nothing by default, otherwise assign to _record_rankings_ after instantiation
Method	_record_rankings_	compute ranks of vals in function_values and
Method	_round_int_variables	return solution with integer variables rounded
Method	_set_C_from	set the current covariance matrix from another class instance.
Method	_set_x0	Assign self.x0 from argument x0.
Method	_stds_into_limits	set self.sigma_vec.scaling to respect opts['max/minstd']
Method	_tear_up_constraints_handling	assign augmented_lagrangian and best_feasible attributes
Method	_tfg	Undocumented
Method	_tfp	Undocumented
Method	_try_update_sm_now	call sm.update_now like sm.sample would do.
Method	_updateBDfromSM	helper function for a smooth transition to sampling classes.
Instance Variable	_con_archives	Undocumented
Instance Variable	_first_feasible_f	# timing of the find_feasible return loop: g = np.random.randn(10) + 1 gl = list(g)
Instance Variable	_flgtelldone	Undocumented
Instance Variable	_indices_of_selective_mirrors	Undocumented
Instance Variable	_injected_solutions_archive	Undocumented
Instance Variable	_is_independent_sample	Undocumented
Instance Variable	_isotropic_mean_shift_iteration	Undocumented
Instance Variable	_last_feasible_f	Undocumented
Instance Variable	_mirrormethod1_done	Undocumented
Instance Variable	_path_for_invariant_update	Undocumented
Instance Variable	_recorded_rankings	Undocumented
Instance Variable	_round_integer_variables	archive solutions at the very end of ask when and before integer rounding is applied. Retrieve them at the very beginning of tell before the inverse geno-pheno transformation is applied. The order of these transformations may change in future.
Instance Variable	_sigma_old	Undocumented
Instance Variable	_stall_sigma_change_on_divergence_events	Undocumented
Instance Variable	_stopdict	attribute for stopping criteria in function stop
Instance Variable	_stoptolxstagnation	Undocumented
Instance Variable	_tell2_args	Undocumented
Property	_result0	return a CMAEvolutionStrategyResult namedtuple.
Property	_result2	return a CMAEvolutionStrategyResult2 class instance.
Property	_stds_geno	return array of coordinate-wise standard deviations (genotypic).

Inherited from OOOptimizer (via CMAEvolutionStrategy):

Method	initialize	(re-)set to the initial state
Method	optimize	find minimizer of objective_fct.
Instance Variable	more_mandatory_args	Undocumented
Instance Variable	optional_kwargs	Undocumented
Instance Variable	xcurrent	Undocumented
Instance Variable	xstart	Undocumented
Method	_force_final_logging	try force the logger to log NOW
Method	_prepare_callback_list	return a list of callbacks including self.logger.add.