Great news! According to their papers, MLSVM works only in serial. I am not sure what is stopping them using PETSc in parallel. Btw, are there any other cases that use PETSc for machine learning? Hong (Mr.)

On Sep 21, 2017, at 1:02 PM, Barry Smith <[email protected]> wrote:

From: Ilya Safro [email protected] Date: September 17, 2017 Subject: MLSVM 1.0, Multilevel Support Vector Machines

We are pleased to announce the release of MLSVM 1.0, a library of fast multilevel algorithms for training nonlinear support vector machine models on large-scale datasets. The library is developed as an extension of PETSc to support, among other applications, the analysis of datasets in scientific computing.

Highlights: - The best quality/performance trade-off is achieved with algebraic multigrid coarsening - Tested on academic, industrial, and healthcare datasets - Generates multiple models for each training - Effective on imbalanced datasets

Download MLSVM at https://github.com/esadr/mlsvm

Corresponding paper: Sadrfaridpour, Razzaghi and Safro "Engineering multilevel support vector machines", 2017, https://arxiv.org/pdf/1707.07657.pdf