Smile is a fast and comprehensive machine learning system for using in Java, Scala or any other JVM languages. Smile supports many machine learning techniques, including classification, regression, clustering, association rule mining, feature selection, manifold learning, genetic algorithm, missing value imputation, nearest neighbor search, etc as well as natural language processing and common math and stat operations.
Smile is a fast and comprehensive machine learning system for using in Java, Scala or any other JVM languages. Smile supports many machine learning techniques, including classification, regression, clustering, association rule mining, feature selection, multidimensional scaling, manifold learning, genetic algorithm, missing value imputation, nearest neighbor search, etc. as well as natural language processing and common math and stat operations.
See https://haifengl.github.io/smile/ for the complete list of supported algorithms.
Smile is open source, Apache License 2.0, and the source code is available on Github: https://github.com/haifengl/smile.
Any question on the usage of Smile library or issues faced in integrating Smile etc can use the Smile tag.
You can check the Smile FAQ: https://haifengl.github.io/smile/faq.html.