Summer Project to freshen up on my C++ skills. Seeking to implement various sklearn algorithms in C++.
| Transformers | Classifiers | Regressors | Misc |
|---|---|---|---|
| PCA | kNeighborsClassifier | Test-Train Split | |
| StandardScaler | RadiusNeighborsClassifier | Pipeline | |
| MinMaxScaler |
- Eigen: C++ Numpy Equivalent. Installation. NEED at least version 3.3.90 which is currently the newest version available (have to clone master branch of eigen). It has various improvements, most importantly MUCH improved slicing capability.
- fdcl-hdf5(optional): Used to save and load HD5 files. Installation.
- C++ Tutorials. I've been following these to get used to cmake and eigen. Made by Matt Haskell here at BYU.
- Eigen Reference Sheet
- CMake Tutorial
- GTest Introduction
Note to get fdcl-hdf5 to find the hdf5 libraries, I add to run export CPATH=/usr/include/hdf5/serial/ or add it to my bashrc.
Had issues finding a library installed with anaconda, running sudo ln -s "$HOME/anaconda3/lib/libhdf5.so.103" "/usr/lib/x86_64-linux-gnu/libhdf5.so.103" did the trick.