cma - Package cma implements the CMA-ES (Covariance Matrix Adaptation Evolution Strategy).bbobbenchmarks - BBOB noiseless testbed.constraints_handler - A collection of boundary and (in future) constraints handling classes.evolution_strategy - CMA-ES (evolution strategy), the main sub-module of cma providing in particular CMAOptions, CMAEvolutionStrategy, and fmin2fitness_functions - versatile container for test objective functions.fitness_models - Fitness surrogate model classes and handler for incremental evaluations.fitness_transformations - Wrapper for objective functions like noise, rotation, gluing argsinterfaces - Very few interface defining base class definitionslogger - logger class mainly to be used with CMAEvolutionStrategyoptimization_tools - Utility classes and functionalities loosely related to optimizationpurecma - A minimalistic implemention of CMA-ES without using numpy.recombination_weights - RecombinationWeights is a list of recombination weights for the CMA-ES.restricted_gaussian_sampler - VD-CMA and VkD-CMAs - versatile shortcuts for quick typing in an (i)python shell or even from cma.s import * in interactive sessions.sampler - Collection of classes that sample from parametrized distributions and provide an update mechanism of the distribution parameters.sigma_adaptation - step-size adaptation classes, currently tightly linked to CMA, because hsig is computed in the base classtest - test module of cma package.transformations - Search space transformation and encoding/decoding classesutilities - various unspecific utilitiesmath - various math utilities, notably eig and a collection of simple functions in Mhpython3for2 - to execute Python 3 code in Python 2.utils - various utilities not related to optimizationwrapper - Interface wrappers for the cma module.