Abstract This package provides a sampler using Google Vizier. It is a simple wrapper around Vizier’s Python client, enabling its optimization capabilities within the Optuna framework.
Class or Function Names VizierSampler Example import optuna from optuna.visualization import plot_hypervolume_history import optunahub wfg = optunahub.load_module("benchmarks/wfg") wfg4 = wfg.Problem(function_id=4, n_objectives=2, dimension=5, k=1) vizier = optunahub.load_module("samplers/vizier") study = optuna.create_study( study_name="Vizier", sampler=vizier.VizierSampler(search_space=wfg4.search_space), directions=wfg4.directions, ) study.optimize(wfg4, n_trials=100) plot_hypervolume_history(study, reference_point=[0.5, 0.5]) Benchmarks Following images are the benchmark of Vizier and other samplers.