Particle swarm for hyperparameter optimization

Octavio Gonzalez-Lugo
5 min readJun 17, 2020
Photo by James Wainscoat on Unsplash

On every machine learning algorithm that is applied to a data set, several hyperparameters need to be optimized to obtain the best performance. Such hyperparameters adjust several characteristics of the algorithm and could be integer values, natural numbers on a given range, boolean values, or a combination of different types. In this post, I will show you how to implement a heuristic algorithm known as…

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Octavio Gonzalez-Lugo

Writing about math, natural sciences, academia and any other thing that I can think about.