| commit | de7b0c75a78c45049418b6c1b7f11ffc06277f2d | [log] [tgz] |
|---|---|---|
| author | Matthias Boehm <mboehm7@gmail.com> | Sat Aug 29 00:14:14 2020 +0200 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Sat Aug 29 00:14:14 2020 +0200 |
| tree | 246d1f6400569319df60678b7188359713aff4d2 | |
| parent | c8a96b079e55f0cc7cd80c8827b2225336243307 [diff] |
[MINOR] Cleanup federated worker tests and federated data read 1) Fix for multiple tests within one JVM, where the negative test created a federated data that was never existing but was added to all federated sites for CLEAR. When trying to clean it up it always failed, aborted before cleanup of previous federated sites, and thus, corrupted thereby all following tests. 2) Fix arbitrary forcing of dense and sparse nnz which affected the non-zero allocation (for either over or under allocation) 3) Refactored the federated tests to move the federated transform as a new github workflow into the federated package to avoid missing local test issues.
Overview: SystemDS is a versatile 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 still in pre-alpha status. The original code base was forked from Apache SystemML 1.2 in September 2018. We will continue to support linear algebra programs over matrices, while replacing the underlying data model and compiler, as well as substantially extending the supported functionalities. Until the first release, you can build your own snapshot via Apache Maven: mvn clean package -P distribution.
