Truss is an open source framework for packaging models built using any framework so that they can be deployed to the environment of your choosing. This article looks at using Truss to deploy a simple XGBoost model.
Originally published as a Kaggle notebook, this article walks through the various steps of training a deep learning model for the Cassava Leaf Disease competition while using Tensor Processing Units (TPU) to accelerate computations.
New to {dplyr}? This post is a thorough introduction to the basics of the {dplyr} R package, and covers the five main functions: arrange(), filter(), select(), mutate(), and summarise()
A gentle introduction to using {tidymodels} with XGBoost, this post goes through all of the necessary steps to train an XGBoost model and make predictions using the Palmer Penguins data set.