About: Apache SystemDS

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Apache SystemDS (Previously, Apache SystemML) is an open source ML system for the end-to-end data science lifecycle. SystemDS's distinguishing characteristics are: 1. * Algorithm customizability via R-like and Python-like languages. 2. * Multiple execution modes, including Standalone, Spark Batch, Spark MLContext, Hadoop Batch, and JMLC. 3. * Automatic optimization based on data and cluster characteristics to ensure both efficiency and scalability.

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rdf:type	Thing software schema:CreativeWork work wikidata:Q386724 Software
rdfs:label	Apache SystemDS (en)
rdfs:comment	Apache SystemDS (Previously, Apache SystemML) is an open source ML system for the end-to-end data science lifecycle. SystemDS's distinguishing characteristics are: 1. * Algorithm customizability via R-like and Python-like languages. 2. * Multiple execution modes, including Standalone, Spark Batch, Spark MLContext, Hadoop Batch, and JMLC. 3. * Automatic optimization based on data and cluster characteristics to ensure both efficiency and scalability. (en)
foaf:name	Apache SystemDS (en)
foaf:homepage	https://systemds.apache.org/
name	Apache SystemDS (en)
foaf:depiction
dct:subject	Apache Software Foundation projects Big data products Hadoop Software using the Apache license 2015 software Java platform Data mining and machine learning software Cluster computing
Wikipage page ID	49338480 (xsd:integer)
Wikipage revision ID	1096610945 (xsd:integer)
Link from a Wikipage to another Wikipage	Python (programming language) Scala (programming language) Apache Incubator Apache Software Foundation projects Big data products Hadoop IBM Almaden Research Center Software using the Apache license GitHub Apache Hadoop Apache Spark Linux MacOS Machine Learning Comparison of deep learning software Deep Learning 2015 software C (programming language) Windows Java platform DBSCAN Data mining and machine learning software Principal component analysis Java (programming language) Cluster computing IBM Apache Software Foundation R (programming language) Euclidean distance Data Science Apache License 2.0 dbr:(Descriptive_Machine_Learning)
Link from a Wikipage to an external page	http://researcher.watson.ibm.com/researcher/files/us-ytian/systemML.pdf http://systemds.apache.org/ http://www.spark.tc/a-universal-translator-for-big-data-and-machine-learning/ https://cacm.acm.org/magazines/2019/5/236413-compressed-linear-algebra-for-declarative-large-scale-machine-learning/fulltext https://systemds.apache.org/ https://www.youtube.com/watch%3Fv=WkYqjWL1xzk http://researcher.watson.ibm.com/researcher/view_group.php%3Fid=3174 http://www.vldb.org/pvldb/vol7/p553-boehm.pdf https://arxiv.org/pdf/1605.05826 https://github.com/apache/systemds%7CSystemDS https://github.com/apache/systemds/blob/main/CONTRIBUTING.md https://github.com/apache/systemds/blob/master/scripts/algorithms/PCA.dml%23L61 https://web.archive.org/web/20150218102423/http:/sites.computer.org/debull/A14sept/p52.pdf https://web.archive.org/web/20150617032644/http:/www.theinquirer.net/inquirer/news/2413132/ibm-donates-machine-learning-tech-to-apache-spark-open-source-community https://web.archive.org/web/20180321002223/http:/www.spark.tc/q-a-with-shiv-vaithyanathan-creator-of-systemml-and-ibm-fellow/ http://www.eweek.com/developer/ibms-systemml-moves-forward-as-apache-incubator-project.html http://www.zdnet.com/article/ibms-systemml-machine-learning-system-becomes-apache-incubator-project/
sameAs	Apache SystemDS Apache SystemDS
dbp:wikiPageUsesTemplate	dbt:Infobox_software dbt:Reflist dbt:Short_description dbt:Start_date_and_age dbt:Apache_Software_Foundation
thumbnail	wiki-commons:Special:FilePath/Apache_SystemDS_Logo.svg?width=300
developer	IBM Apache Software Foundation
genre	Machine Learning Deep Learning Data Science
latest release date	2022-07-05 (xsd:date)
latest release version	3 (xsd:integer)
license	Apache License 2.0
logo	250 (xsd:integer)
operating system	Linux MacOS Windows
programming language	Python (programming language) C (programming language) Java (programming language) dbr:(Descriptive_Machine_Learning)
released	2015-11-02 (xsd:date)
repo	https://github.com/apache/systemds%7CSystemDS
website	https://systemds.apache.org/
has abstract	Apache SystemDS (Previously, Apache SystemML) is an open source ML system for the end-to-end data science lifecycle. SystemDS's distinguishing characteristics are: 1. * Algorithm customizability via R-like and Python-like languages. 2. * Multiple execution modes, including Standalone, Spark Batch, Spark MLContext, Hadoop Batch, and JMLC. 3. * Automatic optimization based on data and cluster characteristics to ensure both efficiency and scalability. (en)

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