| commit | 693ef52fa8b137aaf91bf45cee57cc895bce5aef | [log] [tgz] |
|---|---|---|
| author | min-guk <koreachoi96@gmail.com> | Fri Apr 18 11:52:42 2025 +0200 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Fri Apr 18 12:11:47 2025 +0200 |
| tree | b16e8dba226d509352e94cfcec4b06d6514c66f3 | |
| parent | 2e68ad3b1acd4892ed782d01dbfccffc61d2f680 [diff] |
[SYSTEMDS-3790] Extended optimizer for federated execution plans Closes #2238.
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
