Welcome to the developer documentation for SigOpt. If you have a question you can’t answer, feel free to contact us!
Welcome to the new SigOpt docs! If you're looking for the classic SigOpt documentation then you can find that here. Otherwise, happy optimizing!

Wrap up your Experiment

After you've run your Experiment, it's time to wrap up your Experiment. You can find the best performing Runs and parameter assignments (best value of the metrics you defined) via the Best Runs object. Depending on the type of Experiment you run, you'll either have one or multiple Best Runs. The code snippet below shows you how to find these best runs.

best_runs_list = sigopt.get_experiment(EXPERIMENT_ID).get_best_runs()

See the Python Experiment Calls reference for more information.