Description
Machine-learning applications can use a C++ library focused on scalable algorithms and performance. Developers and researchers install mlpack when building native ML tools, experiments, or applications that need reusable model code.
It is a programming library, not a point-and-click ML studio. Results depend on the data, selected algorithms, build options, and how the library is used in an application.