Jubatus

Jubatus is an open-source framework for online machine learning and distributed computing. It was created by teams at Nippon Telegraph and Telephone and Preferred Infrastructure to help computers learn and work together on big jobs.

The framework can do many helpful things, such as classification, making suggestions, solving math problems called regression, finding unusual patterns known as anomaly detection, and looking at connections in data through graph mining.

Jubatus works with many different programming languages, including C++, Java, Ruby, and Python, which makes it easy for developers to use. It uses a special method called Iterative Parameter Mixture to help computers learn from data in a spread-out way, meaning it can handle lots of information by sharing the work across many machines.

Notable Features

Jubatus helps computers learn and make smart guesses. It can sort things into groups, suggest items a friend might recommend, and predict numbers using data.

It uses special tools to understand words and text. This makes it easier for computers to read and talk about everyday topics.