MOE (Metric Optimization Engine) is an efficient way to optimize a system’s parameters, when evaluating parameters is time-consuming or expensive. It is an open source, machine learning tool for solving these global, black box optimization problems in an optimal way.
Here are some examples of when you could use MOE:
1. Optimizing a system’s click-through rate (CTR).
2. Optimizing tunable parameters of a machine-learning prediction method.
3. Optimizing the design of an engineering system
4. Optimizing the parameters of a real-world experiment …
Metric Optimization Engine (MOE) google

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