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Bayesian Optimization Using Dragonfly

Bayesian Optimization Using Dragonfly

Look at the details of solving a Bayesian optimization problem using Dragonfly.

Dragonfly is a Python library that provides a flexible and scalable framework for implementing Bayesian optimization. It offers various features and algorithms for optimizing complex black box functions with a limited budget for function evaluations.

Implementation of Bayesian optimization in Dragonfly API

Here’s an overview of implementing Bayesian optimization using Dragonfly:

  1. Defining the objective function: We start by defining the objective function that we want to optimize. The objective function represents the black ...

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