Search Results for "hot folder"

This repository is designed to provide a minimal benchmark framework comparing commonly used machine learning libraries in terms of scalability, speed, and classification accuracy. The focus is on binary classification tasks without missing data, where inputs can be numeric or categorical (after one-hot encoding). It targets large scale settings by varying the number of observations (n) up to millions and the number of features (after expansion) to about a thousand, to stress test different...

This starter kit is designed to get you up and running with a bunch of awesome front-end technologies. The primary goal of this project is to provide a stable foundation upon which to build modern web appliications. Its purpose is not to dictate your project structure or to demonstrate a complete real-world application, but to provide a set of tools intended to make front-end development robust, easy, and, most importantly, fun. The project structure presented in this boilerplate is fractal,...