CPP Machine Learning

Description

CPP Machine Learning is a C++ repository showcasing the implementation of supervised and unsupervised machine learning algorithms using C++ libraries. The code is sourced from the book Hands-On Machine Learning with C++, available on GitHub, with minor modifications and adjustments to accommodate my development environment. If you're passionate about exploring machine learning techniques and building algorithms in C++, I recommend checking out the book for a deeper understanding and hands-on experience.

Usage

Cloning the Project

$ git clone https://github.com/KANGWEII/cpp_machine_learning.git

Install Required Tools

All necessary tools are listed in the install_env.sh file. To install, simply run the following commands:

$ cd cpp_machine_learning
$ ./env_scripts/install_env.sh

Building the Project

Each chapter includes a dedicated bash script for building the code, located in the build_scripts folder. To build the code for a specific chapter, simply run the corresponding script for that chapter.

$ ./build_scripts/build_ch01.sh

Running Example

Once you've built the code for a specific chapter, you can execute the compiled examples from the /build directory. For instance, to run the dlib_samples example from Chapter01, launch the corresponding executable.

$ ./Chapter01/dlib_sample/build/linalg-dlib
$ ./Chapter01/dlib_sample/build/linreg-dlib