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Benchmarking

Benchmarking

Plot the Sampling Speed Benchmark to Compare Multiple Samplers

Class or Function Names plot_sampling_speed Installation This module requires the following dependencies: matplotlib scipy Example A minimal example would be the following: from collections import defaultdict import matplotlib.pyplot as plt import optuna import optunahub def objective(trial) -> float: return trial.suggest_float("x", -5, 5)**2 studies = defaultdict(lambda: []) for i in range(3): sampler = optuna.samplers.RandomSampler() study = optuna.create_study(sampler=sampler) study.optimize(objective, timeout=1.0) studies["Random"].append(study) sampler = optuna.samplers.TPESampler() study = optuna.create_study(sampler=sampler) study.optimize(objective, timeout=3.0) studies["TPE"].append(study) plot_sampling_speed = optunahub.