SystemML Overview

SystemML is a flexible, scalable machine learning (ML) language written in Java. SystemML’s distinguishing characteristics are: (1) algorithm customizability, (2) multiple execution modes, including Standalone, Hadoop Batch, and Spark Batch, and (3) automatic optimization.

SystemML Documentation

For more information about SystemML, please consult the following references:

• SystemML GitHub README
• Quick Start Guide
• DML and PyDML Programming Guide
• MLContext Programming Guide
• Debugger Guide
• Algorithms Reference
• DML (R-like Declarative Machine Learning) Language Reference
• PyDML (Python-Like Declarative Machine Learning) Language Reference - Coming Soon