| commit | 9139fe023e1c6647d48c5fdf4884cb62d6ba5b2b | [log] [tgz] |
|---|---|---|
| author | sebwrede <swrede@know-center.at> | Sun Sep 13 14:10:30 2020 +0200 |
| committer | Matthias Boehm <mboehm7@gmail.com> | Sun Sep 13 14:10:30 2020 +0200 |
| tree | cf916b914680d77cbd81f2777cb4ee74692b3209 | |
| parent | bc858f65e910375922c5981e160b5cb1ada0e437 [diff] |
[SYSTEMDS-2605] Fine-grained privacy constraints and propagation - Add Initial Implementation of FineGrainedPrivacyConstraint - Add Unfinished Basic Implementation of R Tree - Add FineGrainedPrivacy Implementation Based on List - Raise Operator Field to Instruction Class and Prepare PrivacyPropagator for Fine-Grained Constraints - Add Initial Fine-Grained Privacy Propagation - Add JavaDoc Details - Add CovarianceCPInstruction to Privacy Propagator - Propagator will throw exception if privacy constraint activated. - Add Write And Read of FineGrainedPrivacy - Edit PrivacyConstraint to Implement Externalizable So that it does not use Serializable interface to serialize DataRange instances - Adapt Privacy Propagation and Constraint Handling To the New Federated Architecture - Add Documentation - Edit Long-Conversion For SetPrivacy in DataExpression Closes #1051.
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.
