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NelderMead Sampler

Abstract This Nelder-Mead method implemenation employs the effective initialization method proposed by Takenaga et al., 2023. Class or Function Names NelderMeadSampler Installation pip install -r https://hub.optuna.org/samplers/nelder_mead/requirements.txt Example from __future__ import annotations import optuna from optuna.distributions import BaseDistribution from optuna.distributions import FloatDistribution import optuna.study.study import optunahub def objective(x: float, y: float) -> float: return x**2 + y**2 def optuna_objective(trial: optuna.trial.Trial) -> float: x = trial.suggest_float("x", -5, 5) y = trial.suggest_float("y", -5, 5) return objective(x, y) if __name__ == "__main__": # You can specify the search space before optimization.