As we demonstrated in “A gentle introduction to parallel computing in R” one of the great things about R is how easy it is to take advantage of parallel processing capabilities to speed up calculation. In this note we will show how to move from running jobs multiple CPUs/cores to […]
We have added a worked example to the README of our experimental logistic regression code. The Logistic codebase is designed to support experimentation on variations of logistic regression including: A pure Java implementation (thus directly usable in Java server environments). A simple multinomial implementation (that allows more than two possible […]
Living in the age of big data we ask what to do when we have the good fortune to be presented with a huge amount of supervised training data? Most often at large scale we are presented with the un-supervised problems of characterization and information extraction; but some problem domains […]