Class CmaesMLP
Defined in File case_generator.hpp
Inheritance Relationships
Base Type
public qb::vqee::VqeOpt
(Class VqeOpt)
Class Documentation
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class CmaesMLP : public qb::vqee::VqeOpt
CMA-ES - Covariance Matrix Adaptation Evolution Strategy is a stochastic search algorithm from the mlpack C++ library. It works by estimating a positive definite matrix within an iterative procedure using the covariance matrix. In this instance, the batchSize is fixed (= 1), and SelectionPolicy is also fixed (= FullSelection).
Public Functions
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inline CmaesMLP()
Default constructor - calls the base class and sets the provider name and algorithm name.
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inline CmaesMLP(const std::vector<double> &in_initial_parameters, const int in_maxeval = 500000, const double in_ftol = 1.0e-4, const YAML::Node &in_node = YAML::Load(""))
Constructor that shows all defaults.
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virtual std::shared_ptr<xacc::Optimizer> get() override
Getters.
Private Members
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std::set<std::string> integer_valued_fields_ = {"lambda"}
Extra options accepted by CMA-ES that will be detected from the YAML string.
The population size YAML key: “lambda” XACC key: “mlpack-cmaes-lambda” Default: [int] 0
Upper-bound of decision variables YAML key: “upper” XACC key: “mlpack-cmaes-upper-bound” Default: [double] 10.0
Lower-bound of decision variables YAML key: “lower” XACC key: “mlpack-cmaes-lower-bound” Default: [double] -10.0 Integer-valued fields
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std::set<std::string> string_valued_fields_ = {}
String-valued fields.
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std::set<std::string> boolean_valued_fields_ = {}
Boolean-valued fields.
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std::set<std::string> double_valued_fields_{"upper", "lower"}
Double-valued fields.
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std::set<std::string> vector_double_valued_fields_ = {}
Vector of double fields.
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std::map<std::string, std::string> all_valid_fields_yaml_xacc_{{"lambda", "mlpack-cmaes-lambda"}, {"upper", "mlpack-cmaes-upper-bound"}, {"lower", "mlpack-cmaes-lower-bound"}}
Union of all the above fields. Conversion of keys from YAML -> XACC.
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inline CmaesMLP()