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Bayesian Machine Learning for Optimization in Python

Bayesian Optimization Using Dragonfly

Explore how to implement Bayesian optimization using the Dragonfly library in Python. Understand defining objective functions, search spaces, and termination criteria to efficiently optimize complex problems. Gain practical skills in applying Dragonfly's flexible framework and interpreting optimization results.

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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 ...