| commit | c75e790e7078b793aeafcd8cd9ffd71f32cc24ee | [log] [tgz] |
|---|---|---|
| author | Sebastian Baunsgaard <baunsgaard@apache.org> | Fri May 02 11:37:44 2025 +0200 |
| committer | Sebastian Baunsgaard <baunsgaard@apache.org> | Fri May 02 11:37:44 2025 +0200 |
| tree | 915a367a8d19a7045265dc9b38aceab197a69073 | |
| parent | 2ec5c705458bda73097828935b90b9f60a3fa720 [diff] |
[SYSTEMDS-3880] Java 17 MultiTenant Test
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
