Hyperparameter optimization lies at the core of developing robust and reliable machine learning models. Unlike parameters learned during training, hyperparameters are set prior to the learning process ...

Spiral Dynamics Optimization with Python Dr. James McCaffrey of Microsoft Research explains how to implement a geometry-inspired optimization technique called spiral dynamics optimization (SDO), an ...

This code provides a hyper-parameter optimization implementation for machine learning algorithms, as described in the paper "On Hyperparameter Optimization of Machine Learning Algorithms: Theory and ...

What is this book about? Hyperparameters are an important element in building useful machine learning models. This book curates numerous hyperparameter tuning methods for Python, one of the most ...