Distributed Function Minimization in Apache Spark
2019-09-17Code Available0· sign in to hype
Andrea Schioppa
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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.