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