deephyper.skopt.optimizer.acq_optimizer.pymoo_mixedga.MixedVariableGA

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deephyper.skopt.optimizer.acq_optimizer.pymoo_mixedga.MixedVariableGA#

class deephyper.skopt.optimizer.acq_optimizer.pymoo_mixedga.MixedVariableGA(pop_size=50, n_offsprings=None, output=<pymoo.util.display.single.SingleObjectiveOutput object>, sampling=<pymoo.core.mixed.MixedVariableSampling object>, mating=<pymoo.core.mixed.MixedVariableMating object>, eliminate_duplicates=<pymoo.core.mixed.MixedVariableDuplicateElimination object>, survival=<pymoo.algorithms.soo.nonconvex.ga.FitnessSurvival object>, **kwargs)[source]#

Bases: GeneticAlgorithm

Methods

advance

ask

finalize

has_next

infill

next

result

run

setup

tell

Attributes

n_gen

Contents