Accelerate your Machine Learning
A simple API for fast, optimal parameter tuning. A state-of-the-art Bayesian optimization ensemble.
OptimoRoute develops routing algorithms for the logistics industry. OptimoRoute uses SigOpt to maximize the performance of their algorithms by tuning the hyperparameters, delivering value to the bottom line while keeping the underlying algorithms and IP safe.
“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.