commit | ecb53edea03a8175f5077b0758503979f2921646 | [log] [tgz] |
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author | Sebastian Baunsgaard <baunsgaard@apache.org> | Fri Apr 05 16:07:41 2024 +0200 |
committer | Sebastian Baunsgaard <baunsgaard@apache.org> | Fri Apr 05 17:54:25 2024 +0200 |
tree | 145eeac77f9977298b7c2b9da235363bf4fe10b3 | |
parent | 1fa2ebc7bad9e6bb8006f70c8ae01a00cde74d5d [diff] |
[SYSTEMDS-3676] Relative path remove in bin This commit fixes the MacOS startup using the systemds bin script. In the process of fixing it, the commit also imrpove the startup overhead from 75 ms average to 20 ms average when using the bin/systemds script. The speedup comes from skipping to search for jar file, configuration, and logging files if they are located in default positions inside conf, target, root or . Closes #2012
Overview: SystemDS is an open source ML 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.
Resource | Links |
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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