An open source ML system for the end-to-end data science lifecycle

apache apache Last update: Oct 01, 2022

Apache SystemDS

Overview: SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning,and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To thisend, we aim to provide a stack of declarative languages with R-like syntax for (1) the different tasks of the data-sciencelifecycle, and (2) users with different expertise. These high-level scripts are compiled into hybrid execution plans oflocal, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark. In contrast to existingsystems - that either provide homogeneous tensors or 2D Datasets - and in order to serve the entire data science lifecycle,the underlying data model are DataTensors, i.e., tensors (multi-dimensional arrays) whose first dimension may have aheterogeneous and nested schema.

Quick Start Install, Quick Start and Hello World

Documentation: SystemDS Documentation

Python Documentation Python SystemDS Documentation

Issue Tracker Jira Dashboard

Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project.To build from source visit SystemDS Install from source

BuildDocumentationComponent TestApplication TestFunction TestPython Test

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