SigOpt
lastmod 2026-11-10created 2025-12-292 edits
SigOpt is an Optimization-as-a-Service offering that provides hyperparameter tuning and experiment management for machine learning models as an API. Once the user defines the ranges of parameters to tune and the evaluation metric, it suggests the next values to try based on Bayesian optimization and records the results, helping find good settings with fewer experiments than grid search. Since it also provides experiment tracking and comparison dashboards, it falls into the category of MLOps tools.
Optiomization-as-a-Service API