This directory contains a Visual Studio solution showing the use of mlpack in a Visual Studio C++ project. However, you will need to set up your environment correctly first---or modify the project properties accordingly---in order to build and run the example. In short, you must download mlpack and four libraries, and install the sources and library files into C:\mlpack\. * OpenBLAS: https://github.com/xianyi/OpenBLAS/releases/download/v0.3.21/OpenBLAS-0.3.21-x64.zip Download the .zip, and extract it into C:\mlpack\openblas-0.3.21\ * Armadillo: https://mlpack.org/files/armadillo-11.4.1.tar.gz Download the .tar.gz, and extract it into C:\mlpack\armadillo-11.4.1\; note that you may need to use a program such as 7Zip (https://www.7-zip.org/) to unpack this archive. * Cereal: https://github.com/USCiLab/cereal/archive/refs/tags/v1.3.2.zip Download the .zip, and extract it into C:\mlpack\cereal-1.3.2\ * ensmallen: https://ensmallen.org/files/ensmallen-2.19.0.tar.gz Download the .tar.gz, and extract it into C:\mlpack\ensmallen-2.19.0\ Now, install mlpack into C:\mlpack\mlpack-4.6.0\. If you downloaded the mlpack source, you can either use the Windows build guide (see doc/user/build_windows.md) to build and install, or, since mlpack is header-only, copy the src/ directory to C:\mlpack\mlpack-4.6.0\ and rename it "include" (so there will now be a directory C:\mlpack\mlpack-4.6.0\include\, which contains only base.hpp and the mlpack/ subdirectory). Alternately, if you downloaded the Windows MSI installer, you can install to C:\mlpack\mlpack-4.6.0\. Once all of that setup is done, the example should compile as-is. If your environment is different, or you have installed dependencies to different directory, just open the solution Properties and adjust the paths in Configuration Properties -> C/C++ -> General -> Additional Include Directories, and Configuration Properties -> Linker -> Input.