Index

A

adjust() (pyec.distribution.basic.ProposalDistribution method) Annealing (class in pyec.distribution.ec.selectors)

AreaSensitiveBernoulli (class in pyec.distribution.ec.mutators) AreaSensitiveGaussian (class in pyec.distribution.ec.mutators)

B

BadAlgorithm batch() (pyec.distribution.basic.Distribution method) BayesEAConfigurator (class in pyec.distribution.ec.evoanneal) BEAConfigurator (class in pyec.distribution.ec.evoanneal)

Bernoulli (class in pyec.distribution.basic) (class in pyec.distribution.ec.mutators) BernoulliTernary (class in pyec.distribution.basic) BestSelection (class in pyec.distribution.ec.selectors) bucket() (pyec.distribution.boltzmann.rbm.rbm method)

C

Cauchy (class in pyec.distribution.ec.mutators) Cmaes (class in pyec.distribution.cmaes) cmaes() (in module pyec.optimize) CmaesConfigurator (class in pyec.distribution.cmaes) Config (in module pyec.config) ConfigBuilder (class in pyec.config) configurator() (pyec.distribution.basic.PopulationDistribution class method)

configure() (pyec.config.ConfigBuilder method) (pyec.distribution.basic.PopulationDistribution class method) Constraint (class in pyec.optimize) convert() (pyec.distribution.basic.PopulationDistribution method) CorrelatedEndogeneousGaussian (class in pyec.distribution.ec.mutators) Crosser (class in pyec.distribution.ec.mutators) Crossover (class in pyec.distribution.ec.mutators)

D

data (pyec.trainer.Trainer attribute) de() (in module pyec.optimize) DecayedBernoulli (class in pyec.distribution.ec.mutators) DecayedCauchy (class in pyec.distribution.ec.mutators) DecayedGaussian (class in pyec.distribution.ec.mutators) DEConfigurator (class in pyec.distribution.de)

densityRatio() (pyec.distribution.basic.ProposalDistribution method) differential_evolution() (in module pyec.optimize) DifferentialEvolution (class in pyec.distribution.de) distance() (pyec.util.TernaryString.TernaryString method) Distribution (class in pyec.distribution.basic) DominantCrosser (class in pyec.distribution.ec.mutators)

E

Elitist (class in pyec.distribution.ec.selectors) EndogeneousGaussian (class in pyec.distribution.ec.mutators) energy() (pyec.distribution.boltzmann.rbm.rbm method) energy2() (pyec.distribution.boltzmann.rbm.rbm method) ESConfigurator (class in pyec.distribution.ec.es) evoanneal() (in module pyec.optimize)

evolutionary_annealing() (in module pyec.optimize) EvolutionaryAnnealing (class in pyec.distribution.ec.evoanneal) EvolutionStrategy (class in pyec.distribution.ec.es) EvolutionStrategySelection (class in pyec.distribution.ec.selectors) extent() (pyec.optimize.Constraint method)

F

FixedCube (class in pyec.distribution.basic)

G

GAConfigurator (class in pyec.distribution.ec.ga) Gaussian (class in pyec.distribution.basic) (class in pyec.distribution.ec.mutators) generating_set_search() (in module pyec.optimize)

GeneticAlgorithm (class in pyec.distribution.ec.ga) gss() (in module pyec.optimize)

H

Hyperrectangle (class in pyec.optimize)

I

IntermediateCrosser (class in pyec.distribution.ec.mutators)

L

LinearRanker (class in pyec.distribution.ec.selectors)

M

mix (class in pyec.util.benchmark) mutate() (pyec.distribution.ec.mutators.Mutation method)

Mutation (class in pyec.distribution.ec.mutators)

N

nelder_mead() (in module pyec.optimize) nm() (in module pyec.optimize)

NonlinearRanker (class in pyec.distribution.ec.selectors)

O

OnePointCauchy (class in pyec.distribution.ec.mutators) OnePointCrosser (class in pyec.distribution.ec.mutators)

OnePointDualCrosser (class in pyec.distribution.ec.mutators) optimize() (in module pyec.optimize)

P

pack() (pyec.distribution.ec.mutators.CorrelatedEndogeneousGaussian method) particle_swarm_optimization() (in module pyec.optimize) partition() (pyec.distribution.boltzmann.rbm.rbm method) PopulationDistribution (class in pyec.distribution.basic) postConfigure() (pyec.config.ConfigBuilder method) Proportional (class in pyec.distribution.ec.selectors) ProportionalAnnealing (class in pyec.distribution.ec.selectors) ProposalDistribution (class in pyec.distribution.basic) pso() (in module pyec.optimize) pyec (module) pyec.config (module) pyec.distribution (module) pyec.distribution.basic (module) pyec.distribution.bayes (module) pyec.distribution.bayes.net (module) pyec.distribution.bayes.sample (module) pyec.distribution.bayes.score (module) pyec.distribution.bayes.structure (module) pyec.distribution.bayes.structure.greedy (module) pyec.distribution.bayes.structure.proposal (module) pyec.distribution.bayes.variables (module) pyec.distribution.boltzmann (module) pyec.distribution.boltzmann.bm (module)

pyec.distribution.boltzmann.rbm (module) pyec.distribution.boltzmann.sample (module) pyec.distribution.cmaes (module) pyec.distribution.de (module) pyec.distribution.ec (module) pyec.distribution.ec.es (module) pyec.distribution.ec.evoanneal (module) pyec.distribution.ec.ga (module) pyec.distribution.ec.mutators (module) pyec.distribution.ec.selectors (module) pyec.distribution.eda (module) pyec.distribution.gss (module) pyec.distribution.neldermead (module) pyec.distribution.pso (module) pyec.optimize (module) pyec.trainer (module) pyec.util (module) pyec.util.benchmark (module) pyec.util.cache (module) pyec.util.partitions (module) pyec.util.registry (module) pyec.util.TernaryString (module)

R

Ranker (class in pyec.distribution.ec.selectors) Ranking (class in pyec.distribution.ec.selectors) rbm (class in pyec.distribution.boltzmann.rbm) REAConfigurator (class in pyec.distribution.ec.evoanneal)

RGAConfigurator (class in pyec.distribution.ec.ga) run() (pyec.distribution.basic.PopulationDistribution method) RunStats (class in pyec.trainer)

S

sa() (in module pyec.optimize) sample() (pyec.distribution.ec.selectors.Annealing method) Selection (class in pyec.distribution.ec.selectors)

simulated_annealing() (in module pyec.optimize) start() (pyec.trainer.RunStats method) stop() (pyec.trainer.RunStats method)

T

TernaryString (class in pyec.util.TernaryString) Tournament (class in pyec.distribution.ec.selectors) TournamentAnnealing (class in pyec.distribution.ec.selectors) train() (pyec.trainer.Trainer method)

trainAutonomous() (pyec.distribution.boltzmann.rbm.rbm method) Trainer (class in pyec.trainer) TwoPointCrosser (class in pyec.distribution.ec.mutators)

U

UniformArea (class in pyec.distribution.ec.mutators) UniformAreaBernoulli (class in pyec.distribution.ec.mutators) UniformCrosser (class in pyec.distribution.ec.mutators)

unpack() (pyec.distribution.ec.mutators.CorrelatedEndogeneousGaussian method) update() (pyec.distribution.basic.PopulationDistribution method) (pyec.distribution.ec.selectors.EvolutionStrategySelection method)