Abstract This package automatically selects an appropriate sampler for the provided search space based on the developers’ recommendation.
Class or Function Names AutoSampler This sampler currently accepts only seed and constraints_func. constraints_func enables users to handle constraints along with the objective function. These arguments follow the same convention as the other samplers, so please take a look at the reference.
Installation This sampler requires optional dependencies of Optuna.
$ pip install optunahub cmaes torch scipy Note that since we may update the implementation of AutoSampler, it is highly encouraged to use the latest version of Optuna.