elliot.hyperoptimization package

Submodules

elliot.hyperoptimization.model_coordinator module

Module description:

class elliot.hyperoptimization.model_coordinator.ModelCoordinator(data_objs, base: types.SimpleNamespace, params, model_class: ClassVar, test_fold_index: int)

Bases: object

This class handles the selection of hyperparameters for the hyperparameter tuning realized with HyperOpt.

objective(args)

This function respect the signature, and the return format required for HyperOpt optimization :param args: a Dictionary that contains the new hyper-parameter values that will be used in the current run :return: it returns a Dictionary with loss, and status being required by HyperOpt, and params, and results being required by the framework

single()

This function respect the signature, and the return format required for HyperOpt optimization :param args: a Dictionary that contains the new hyper-parameter values that will be used in the current run :return: it returns a Dictionary with loss, and status being required by HyperOpt, and params, and results being required by the framework

Module contents

Module description:

elliot.hyperoptimization.parse_algorithms(opt_alg)

elliot.hyperoptimization.suggest(new_ids, domain, trials, seed, nbMaxSucessiveFailures=1000)