Ecological Interactions and the Netflix Problem
This repository contains:
- KNN: C++ code for the K nearest neighbor recommender and imputer.
- Supervised Learning contains the Python script for random forests.
- Figures contain figures (yeah, really) and Python/R scripts to generate them.
THe KNN and Supervised Learning folders contains the formatted data used for the article.
Data
The data used for this research was taken from:
C Digel, A Curtsdotter, J Riede, B Klarner, and U Brose. Unravelling the complex structure of forest soil food webs: higher omnivory and more trophic levels. In Oikos, volume 123, pages 1157–1172, 2014.
The authors licensed the data under the Creative Commons CC BY-NC-SA.
Code
The C++ and Python code are license under the liberal MIT license.