Advanced Experimentation
Last updated
Last updated
Add to your intelligent experimentation with SigOpt’s advanced offerings, and customize your optimization workflow by applying expertise of the root problem to enhance our search.
This section will cover the various features available to help you frame intelligent experimentation by customizing the setup of a SigOpt Experiment.
- find the Pareto optimal tradeoff between two competing objective metrics.
- restrict the solutions to a subset of the Pareto frontier.
- pose auxiliary metrics as constraints.
- mark evaluation as a failure.
- search for diverse solutions in more than two metrics.
- search for multiple high performing solutions for a single metric.
- run a SigOpt Experiment on multiple machines.
- define the distribution of a parameter.
- restrict the parameter space in with linear inequality constraints.