apsis.optimizers package

Subpackages

• apsis.optimizers.bayesian package
  • Submodules
  • apsis.optimizers.bayesian.acquisition_functions module
  • Module contents

Submodules

apsis.optimizers.bayesian_optimization module

apsis.optimizers.optimizer module

class apsis.optimizers.optimizer.Optimizer(optimizer_params)

Bases: object

This defines a basic optimizer interface.

Methods

SUPPORTED_PARAM_TYPES = []

get_next_candidates(experiment)

Returns several Candidate objects given an experiment.

It is the free choice of the optimizer how many Candidates to provide, but it will provide at least one. Parameters ———- experiment : Experiment

The experiment to form the base of the next candidate.

Returns:

next_candidate : list of Candidate

The Candidate to next evaluate.

apsis.optimizers.random_search module

class apsis.optimizers.random_search.RandomSearch(optimizer_arguments=None)

Bases: apsis.optimizers.optimizer.Optimizer

Implements a random searcher for parameter optimization.

Attributes

Methods

SUPPORTED_PARAM_TYPES = [<class 'apsis.models.parameter_definition.NominalParamDef'>, <class 'apsis.models.parameter_definition.NumericParamDef'>]

get_next_candidates(experiment, num_candidates=1)

random_state = None

Module contents