Apache SystemML (Incubating)

Clone this repo:
  1. 8cbc85a [SYSTEMDS-253] Distributed slice finding (task/data parallel, fixes) by gilgenbergg · 3 weeks ago master
  2. 6e811d7 [SYSTEMDS-335] Weighted eviction policy in lineage cache by arnabp · 3 weeks ago
  3. 1c40be6 [MINOR] Fix unnecessary date handling in MLContext API by bd2019us · 3 weeks ago
  4. 8fbcd75 [MINOR] Various improvements of data cleaning built-in primitives by Shafaq Siddiqi · 3 weeks ago
  5. 1a7f5ca [SYSTEMDS-392] New built-in function imputeByFD (MVI by robust FDs) by Shafaq Siddiqi · 3 weeks ago

Apache SystemDS

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.

Build Documentation Component Test Application Test Function Test Python Test Federated Python Test