cotengra.hyperoptimizers.hyper_optuna¶

Hyper optimization using optuna.

Classes¶

Hyper-optimization using optuna.

`make_getter`(name, param)
`make_retriever`(methods, space)

cotengra.hyperoptimizers.hyper_optuna.make_retriever(methods, space)[source]¶

class cotengra.hyperoptimizers.hyper_optuna.OptunaOptLib[source]¶

Hyper-optimization using optuna.

setup(methods, space, optimizer=None, sampler='TPESampler', sampler_opts=None, **create_study_opts)[source]¶

Initialize the optimizer state.

Parameters:

methods (list[str]) – The list of contraction methods to optimize over.
space (dict[str, dict[str, dict]]) – The search space for each method.
optimizer (HyperOptimizer, optional) – The parent HyperOptimizer instance, for accessing attributes like max_repeats.
kwargs – Extra options specific to the optimizer library.

get_setting()[source]¶

Suggest the next setting to trial.

Returns:: setting – Must contain at least {"method": str, "params": dict}. May also include tokens for reporting.
Return type:: dict

report_result(setting, trial, score)[source]¶

Report the result of a trial.

Parameters: