f3dasm_optimize

Classes

Adam(domain[, learning_rate, beta_1, ...])

AdamTensorflow(domain[, learning_rate, ...])

Adam

Adamax(domain[, learning_rate, beta_1, ...])

CMAES(domain[, population, force_bounds, seed])

Covariance Matrix Adaptation Evolution Strategy optimizer implemented from pygmo

DifferentialEvolution(domain[, population, ...])

DifferentialEvolution optimizer implemented from pygmo

EvoSaxCMAES(domain[, population, seed])

EvoSaxDE(domain[, population, seed])

EvoSaxPSO(domain[, population, seed])

EvoSaxSimAnneal(domain[, population, seed])

Ftrl(domain[, learning_rate, ...])

Nadam(domain[, learning_rate, beta_1, ...])

NevergradDE(domain[, population, ...])

PSO(domain[, population, transform, omega, ...])

PygmoPSO(domain[, population, eta1, eta2, seed])

Particle Swarm Optimization (Generational) optimizer implemented from pygmo

RMSprop(domain[, learning_rate, rho, ...])

SADE(domain[, population, variant, ...])

Self-adaptive Differential Evolution optimizer implemented from pygmo

SEA(domain[, population, seed])

Simple Evolutionary Algorithm optimizer implemented from pygmo

SGA(domain[, population, cr, eta_c, m, ...])

Simple Genetic Algorithm optimizer implemented from pygmo

SGD(domain[, learning_rate, momentum, nesterov])

SimulatedAnnealing(domain[, population, Ts, ...])

DifferentialEvolution optimizer implemented from pygmo

TPESampler(domain[, seed])

XNES(domain[, population, eta_mu, ...])

XNES optimizer implemented from pygmo

Functions

try_import()

Create a context manager that can wrap imports of optional packages to defer exceptions.