| commit | 3f3ddb3523e20ed8c23f1b014a1f2c5d0d947e28 | [log] [tgz] |
|---|---|---|
| author | Sebastian Baunsgaard <baunsgaard@apache.org> | Fri May 02 11:37:32 2025 +0200 |
| committer | Sebastian Baunsgaard <baunsgaard@apache.org> | Fri May 02 11:37:32 2025 +0200 |
| tree | d814d6abc0dbb842dc34d27ed7c18bdf3e6f9722 | |
| parent | 0e5293ecb69b41cef04155e9024c5cea9b485f77 [diff] |
[SYSTEMDS-3871] Java 17 MainDocker Image
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
