commit | bc3b4f59c3f4e8fb99fcd3b9d8de8bb3fda3a85f | [log] [tgz] |
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author | baunsgaard <baunsgaard@tugraz.at> | Fri Oct 23 11:43:45 2020 +0200 |
committer | baunsgaard <baunsgaard@tugraz.at> | Fri Oct 23 11:43:59 2020 +0200 |
tree | c63ff6743d9b0b12fef40daae9232e5963724c3d | |
parent | 4739e46ee6d7d01c74c62fe31f98e5b880d5f709 [diff] |
[MINOR] Python Left hand side ops This commit add the left hand side ops to enable ops like: 3 > M 3 * M furthermore this commit fixes a :bug: in transpose that did not set shape correctly, and the same for matrix multiply.
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