We are constantly crunching through large amounts of data and designing unique and innovative ways to process large datasets on a single node and use distributed computing only when single node computing becomes time consuming and less effici...
We are constantly crunching through large amounts of data and designing unique and innovative ways to process large datasets on a single node and use distributed computing only when single node computing becomes time consuming and less effici...
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 result categories). The ability to [...] Related posts: Large Data Logistic Regression (with example Hadoop code) How robust is logistic…
