Title: Designing and building the mlpack open-source machine learning library,
Abstract: mlpack is an open-source C++ machine learning library with an emphasis on
speed and flexibility. Since its original inception in 2007, it has grown to be
a large project implementing a wide variety of machine learning algorithms,
from standard techniques such as decision trees and logistic regression to
modern techniques such as deep neural networks as well as other
recently-published cutting-edge techniques not found in any other library.
mlpack is quite fast, with benchmarks showing mlpack outperforming other
libraries' implementations of the same methods. mlpack has an active community,
with contributors from around the world---including some from PUST. This short
paper describes the goals and design of mlpack, discusses how the open-source
community functions, and shows an example usage of mlpack for a simple data
science problem.