Optuna

The Optuna backend provides an interface to Optuna’s optimization algorithms. These optimizers wrap Optuna’s samplers and provide access to state-of-the-art hyperparameter optimization methods.

TPEOptimizer([param_space, n_trials, ...])	Tree-structured Parzen Estimator optimizer.
RandomOptimizer([param_space, n_trials, ...])	Random optimizer.
CmaEsOptimizer([param_space, n_trials, ...])	CMA-ES (Covariance Matrix Adaptation Evolution Strategy) optimizer.
GPOptimizer([param_space, n_trials, ...])	Gaussian Process-based Bayesian optimizer.
GridOptimizer([param_space, n_trials, ...])	Grid search optimizer.
NSGAIIOptimizer([param_space, n_trials, ...])	NSGA-II multi-objective optimizer.
NSGAIIIOptimizer([param_space, n_trials, ...])	NSGA-III multi-objective optimizer.
QMCOptimizer([param_space, n_trials, ...])	Quasi-Monte Carlo optimizer.