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Tutorials to demonstrate Bayesian Optimization powered by OPTaaS
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Tutorials for OPTaaS (Optimization as a Service)


OPTaaS (Optimization as a Service) is a general-purpose Bayesian optimizer developed by Mind Foundry which provides optimal hyper-parameter configurations via web-services. It can handle any parameter type and does not need to know the underlying process, models, or data.

This repository contains tutorials and examples in the form of Jupyter Notebooks, which demonstrate how OPTaaS can help you solve problems using Bayesian Optimization.

You can install the OPTaaS Python Client by simply running: pip install mindfoundry-optaas-client

We also provide an OPTaaS R Client.

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