cluster/
- scripts to run notebooks
- documentation for cluster usage
- configuration for custom version of
cmake - script for downloading Kaggle data in bulk
- scripts for installing
boost lightgbmanalysis logs- documentation for
cmake - Python library requirements specification document
- code to start a persistent
jupyter labserver which is accessible from the public internet
diagrams/
draft visualisation components for the Dissertation Paper; they were transferred into vectorised graphics (see tikz/)
ensembles/
spreadsheets describing the constitution of the different multilabel classifier ensembles
lib/
code which was publicly shared by the competitors and reused in our solutions
notebooks/
the code used to define and train the various solution components; to run them, data from the Kaggle website is required
results/
spreadsheets containing summarised results from our experiments
tikz/
python code to generate vectorised graphics for LATEX