commit | d17d9c1c4fd52900fc3885615c6aefc77778d9e9 | [log] [tgz] |
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author | baunsgaard <baunsgaard@tugraz.at> | Sat Jul 31 17:30:20 2021 +0200 |
committer | baunsgaard <baunsgaard@tugraz.at> | Wed Aug 04 14:51:32 2021 +0200 |
tree | dede6c02c31a82edbea390e8019ba21cb276735e | |
parent | 60b3a60ea517f0982399b842822d765ac051393a [diff] |
[MINOR] CUMSUM on empty matrix In aggregateUnaryMatrixEmpty cumulative sum on an empty matrix is a no-op. I added the switch case to this since i ran into an edge case where spark would say unsupported aggregation type. Also added is a test that verify this bug.
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 renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source