Hyperparameters tuning and features selection are two common steps in every machine learning pipeline. Most of the time they are computed separately and independently. This may result in suboptimal ...

This repository contains API demonstration scripts for the NURBS-Python package. Please see the documentation for more details. I would like to thank my PhD adviser, Dr. Adarsh Krishnamurthy, for his ...

Grid search a very common and often advocated approach where you lay down a grid over the space of possible hyperparameters, and evaluate at each point on the grid; the hyperparameters from the grid ...

Hyperparameters are an important element in building useful machine learning models. This book curates numerous hyperparameter tuning methods for Python, one of the most popular coding languages for ...

Hyperparameters are critical in machine learning, as different hyperparameters often result in models with significantly different performance. Hyperparameters may be deemed confidential because of ...