| commit | 84a5212b5114cad90eaa04b91474e153d324a728 | [log] [tgz] |
|---|---|---|
| author | sebwrede <seb.wrede@hotmail.com> | Mon Jun 01 15:45:03 2020 +0200 |
| committer | baunsgaard <baunsgaard@tugraz.at> | Mon Jun 29 22:17:52 2020 +0200 |
| tree | fa9ba1823b5059f9e0e2eee559fc1f05cf9dd981 | |
| parent | d9d3288468112a940d0bf926aaa2f619346cf1a2 [diff] |
[SYSTEMDS-2568] Initial Federated Privacy Support - Privacy Constraint support for GLM - Privacy tests for GLM - Improved exception handling of federated responses - Log of checked privacy constraints This is to give the federated master information about which privacy constraints were violated and to be able to throw the actual exception on the master side. Add Initial Implementation of Checked Privacy Constraints Log This will enable the user to check which privacy constraints were retrieved during handling of federated instruction. This is an initial implementation since the checked privacy constraints are added to the federated response, but this is never retrieved by the federated master. If the privacy constraint is null for a checked data object, this is currently not logged. This could easily be changed by moving the put operation before the privacy constraint null check in the PrivacyMonitor. Closes #946
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
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.
