| commit | 02603876c549f0bd5bed1c8c9fe9b96064ffb83e | [log] [tgz] |
|---|---|---|
| author | Jannik Lindemann <jannik.lindemann3@gmail.com> | Mon Jan 05 12:35:27 2026 +0100 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Mon Jan 05 12:35:27 2026 +0100 |
| tree | 0354f97492b2ac98408e7fdbcf303333f5a3911e | |
| parent | 6b955fbce79a3e0781e6197e83b25ef283beaa37 [diff] |
[SYSTEMDS-3891] OOC Source Streams and Perf Improvements Closes #2393.
Overview: Apache SystemDS is an open-source machine learning (ML) system for the end-to-end data science lifecycle from data preparation and cleaning, over efficient ML model training, to debugging and serving. ML algorithms or pipelines are specified in a high-level language with R-like syntax or related Python and Java APIs (with many builtin primitives), and the system automatically generates hybrid runtime plans of local, in-memory operations and distributed operations on Apache Spark. Additional backends exist for GPUs and federated learning.
| Resource | Links |
|---|---|
| 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
