Jubatus

Jubatus is an open-source online machine learning and distributed computing framework developed at Nippon Telegraph and Telephone and Preferred Infrastructure. Its features include classification, recommendation, regression, anomaly detection and graph mining.
It supports many client languages, including C++, Java, Ruby and Python.
It uses Iterative Parameter Mixture for distributed machine learning.

Notable Features

Jubatus supports:

Multi-classification algorithms:
* Perceptron
* Passive Aggressive
* Confidence Weighted
* Adaptive Regularization of Weight Vectors
* Normal Herd
Recommendation algorithms using:
* Inverted index
* Minhash
* Locality-sensitive hashing
Regression algorithms:
* Passive Aggressive
feature extraction method for natural language:
* n-gram
* Text segmentation