Bayesian Optimization 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 box function we want to maximize or minimize. It takes input parameters and returns an objective value.

2. Defining the search space: We specify the search space for the input parameters of the objective function. The search space defines the range or constraints for each parameter. Dragonfly supports both continuous and ...