deephyper.skopt.optimizer.acq_optimizer.pymoo_mixedga

deephyper.skopt.optimizer.acq_optimizer.pymoo_mixedga#

Mixed-Integer genetic-algorithm optimization for the acquisition function.

Functions

`convert_space_to_pymoo_mixed`	Convert a DeepHyper space to a pymoo space.
`minimize`	Minimization of function of one or more variables, objectives and constraints.

Classes

`Choice`	Class for the representation of a discrete, subset decision variable.
`Config`	The configuration of this package in general providing the place for declaring global variables.
`ConfigSpaceRepair`	Pymoo repair operator for ConfigSpace conditions/forbiddens.
`DefaultMixedTermination`	Pymoo custom termination criteria for mixed-integer problem.
`DefaultSingleObjectiveMixedTermination`	Pymoo custom default single objectived mixed-integer termination criteria.
`ElementwiseProblem`
`Integer`	Class for the representation of bounded, integer decision variables.
`MaximumFunctionCallTermination`
`MaximumGenerationTermination`
`MixedGAPymooAcqOptimizer`	Mixed-Integer GA optimizer using Pymoo.
`MixedVariableDuplicateElimination`
`MixedVariableGA`
`MixedVariableMating`
`OrderedDict`	Dictionary that remembers insertion order
`Population`
`Problem`
`PyMOOMixedElementWiseProblem`	Pymoo mixed-integer problem definition (element-wise).
`PyMOOMixedVectorizedProblem`	Pymoo mixed-integer problem definition (vectorized).
`Real`	Class for the representation of bounded, real decision variables.
`Repair`
`RobustTermination`
`SingleObjectiveSpaceTermination`
`Termination`