Sweeps

Preview

The Sweeps tab is in early access. List and detail views work end-to-end, but sweep creation is API-only (Vantage SDK). See troubleshooting for the known limitations.

A sweep is a hyperparameter-search experiment that runs many trials — each trial is one training job with one specific parameter combination. Sweeps track the metric you're optimizing across all trials and surface the best one.

Sweep concepts

• Algorithms — the search strategy (Bayesian, grid, random) that determines how trials are generated.
• Presets — pre-defined configurations for common search patterns.
• Trials — individual parameter combinations within a sweep, each running as a training job.

Next steps

• Algorithms — the supported search strategies
• Presets — pre-configured sweep templates
• Trials — individual parameter combinations