gradient_boosting_CLF

Repository for reproducing the results presented in the paper "Tuning gradient boosting for imbalanced bioassay modelling".

Overview

losses: folder containing the implementation of the custom loss functions and related classes.
misc: folder containing utility functions to run the benchmarks.
scripts: collection of scripts to reproduce the results presented in the paper.
output: placeholder to store the outputs of the pipelines in scripts.
env.yml: conda environment with all packages required to run the scripts.
datasets.zip .csv files of all publicly available datasets evaluated in the paper, has to be extracted to run the scripts.

New version of the package available at https://github.com/dahvida/custom_gbm