Ganitha

Ganitha is an open-source Scala/Scalding library developed by Tresata to facilitate advanced machine learning and statistical analysis on large data sets, especially in Hadoop environments. It provides seamless integration of Apache Mahout vectors, customizable vector operations, transparent serialization, and comes with implementations of key machine learning algorithms such as Naive-Bayes classifiers (Gaussian, Multinomial, Bernoulli) and K-Means clustering (including K-Means++ and K-Means|| initialization). Ganitha is particularly suitable for data scientists and engineers seeking to scale out predictive analytics and clustering on big data using Scala, Mahout, and Scalding.