Apache SystemML

From Wikipedia Quality
Jump to: navigation, search

Apache SystemML is a flexible machine learning system that automatically scales to Spark and Hadoop clusters. SystemML's

distinguishing characteristics are:

Algorithm customizability via R-like and Python-like languages.

Multiple execution modes, including Standalone, Spark Batch, Spark MLContext, Hadoop Batch, and JMLC.

Automatic optimization based on data and cluster characteristics to ensure both efficiency and scalability.

Retrieved from "https://wikipediaquality.com/index.php?title=Apache_SystemML&oldid=5450"