| commit | dadfbbbeda2eedc45a39ad2573fde22ba8ed6daa | [log] [tgz] |
|---|---|---|
| author | baunsgaard <baunsgaard@tu-berlin.de> | Mon Jun 05 23:12:30 2023 +0200 |
| committer | baunsgaard <baunsgaard@tu-berlin.de> | Thu Jun 08 10:11:00 2023 +0200 |
| tree | c4d11a5d467e08cb3bf622ec12050894426c0d1d | |
| parent | 029b68a3c4f8da36efe074d1a677c354b58864ee [diff] |
[SYSTEMDS-3574] Recompress Compressed Matrix This commit adds support to recompress a compressed matrix via the standard compression plan of extracting statistics from groups, and using these in the sequence of co-coding and applying the co-coding plan to the compressed column groups via the CLALibCombineGroups. The implementation currently is naive in the sense that it does not guarantee that the output column groups are of the type expected and wanted since the combine algorithms are simplified to only return groups that made it easy to combine not enabling a specific plan to be followed. Closes #1836
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
