Accelerate your Machine Learning
A simple API for fast, optimal parameter tuning. A state-of-the-art Bayesian optimization ensemble.
“For us, parameter optimization was always a secondary task, since we couldn’t dedicate the time or resources to it, and using SigOpt allows us to automate unlocking additional performance. They have an easy integration and useful web UI for tracking our models, but most importantly we saw performance improvements to the models optimized by SigOpt.”
“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.”
SigOpt Machine Learning Examples
See SigOpt in action including deep learning, unsupervised learning with XGBoost, and logistic regression.