This is a toy project to predict goals scored using Poisson Regression on the Premier League 11/12 season. It uses C++, unconventionally, instead of the industry standard for similar use cases - Python and R. See my blog for more details: https://www.kelanyll.com/posts/poisson-cpp/.
As this was in part written to improve my C++ skills, I tried to follow a set of principles:
- Ensure we're using move semantics wherever possible. This can be useful to reduce the instances where we're copying heavy 2d data structures.
- Follow the C++ Core Guidelines and prefer uniform initialization.
- Use test-driven development. Although the main reason for this is that it shortens the feedback loop.
- Keep the CMake configuration clean and flexible.
This was developed on an x64-linux machine with dependencies on dataframe@1.22.0 and gtest@1.13.0.
We build the BOOM library from source and it's currently locked to this commit.
If using vcpkg to manage dependencies, run cmake with -DCMAKE_TOOLCHAIN_FILE=/usr/local/vcpkg/scripts/buildsystems/vcpkg.cmake. If CMakeCache.txt doesn't have any vcpkg variables, delete it and generate the build again.