Nsgaii
Abstract This sampler uses TPESampler instead of RandomSampler for the initialization of NSGAIISampler.
APIs NSGAIIWithTPEWarmupSampler This class takes the identical interface as the Optuna NSGAIISampler.
Example from __future__ import annotations import optuna import optunahub def objective(trial: optuna.Trial) -> tuple[float, float]: x = trial.suggest_float("x", -5, 5) y = trial.suggest_float("y", -5, 5) return x**2 + y**2, (x - 2) ** 2 + (y - 2) ** 2 package_name = "samplers/nsgaii_with_tpe_warmup" sampler = optunahub.