Accelerate your Machine Learning
A simple API for fast, optimal parameter tuning. A state-of-the-art Bayesian optimization ensemble.
“Our vehicle routing optimization algorithm uses 20+ hyperparameters that define how it explores the huge combinatorial space of this NP-complete problem. In a few weeks, SigOpt saved us months of a single engineers’ time to yield a comparable performance improvement. Whenever we change our algorithm it makes us these kind of savings all over again.It’s like having another engineer onboard.” – Marin Saric, Optimoroute
SigOpt Machine Learning Examples
See SigOpt in action including deep learning, unsupervised learning with XGBoost, and logistic regression.