Review of Spearmint powered by the Slant community.
Spearmint is a software package, meant for Bayesian optimization. It automatically runs experiments in a way that iteratively adjusts a number of parameters, minimizing some objective in as few runs as possible.
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Pros
Pro Automatically infers smoothness
Uses random sampling (MCMC) and warping techniques to eliminate the need for the user to supply a kernel (smoothness assumption).
Cons
Con Academic / Non-commercial research use only
See the licence here.