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Distributed Function Minimization in Apache Spark

Published in arXiv (Cornell University) • Sep 17, 2019
NobleIDNI2P68W19R29S14
Authors:
Andrea Schioppa

Abstract

We report on an open-source implementation for distributed function minimization on top of Apache Spark by using gradient and quasi-Newton methods. We show-case it with an application to Optimal Transport and some scalability tests on classification and regression problems.

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