commit | 1fb8c5e680171d4fafa5a42a23be927b5600ccac | [log] [tgz] |
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author | Arnab Phani <phaniarnab@gmail.com> | Thu Jun 08 11:23:01 2023 +0200 |
committer | Arnab Phani <phaniarnab@gmail.com> | Thu Jun 08 11:23:01 2023 +0200 |
tree | b8f4cedc9e095a496c9e8d5fc9726d7f6184b7db | |
parent | dadfbbbeda2eedc45a39ad2573fde22ba8ed6daa [diff] |
[MINOR] Add missing knobs to the config XML template
Overview: SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To this end, we aim to provide a stack of declarative languages with R-like syntax for (1) the different tasks of the data-science lifecycle, and (2) users with different expertise. These high-level scripts are compiled into hybrid execution plans of local, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark. In contrast to existing systems - that either provide homogeneous tensors or 2D Datasets - and in order to serve the entire data science lifecycle, the underlying data model are DataTensors, i.e., tensors (multi-dimensional arrays) whose first dimension may have a heterogeneous and nested schema.
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