commit | 3b5ea894ecbba8c96361ea58e9f2ee9663c534c4 | [log] [tgz] |
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author | baunsgaard <baunsgaard@tugraz.at> | Sat Nov 14 22:14:36 2020 +0100 |
committer | baunsgaard <baunsgaard@tugraz.at> | Sat Nov 14 23:34:18 2020 +0100 |
tree | 71496ea25bef96e6a471f76ee0438f3fc3f0b73b | |
parent | acd33e166b756cdf5884c89b735089f17ccfb2c6 [diff] |
[SYSTEMDS-2731] Add read timeout federated This commit adds a timeout on the federated initialization. This is fair to do since initialization in all cases should not take more than a couple of seconds, because it only transfers back and forth initialization information, while not in principle reading the data. The default timeout is set to 10 seconds, but can be customized (in second granularity) inside the systemds-config.xml file.
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
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Status and Build: SystemDS is renamed from SystemML which is an Apache Top Level Project. To build from source visit SystemDS Install from source