Codes for 1st Datascience Contest of UNIST-KAIST-POSTECH.
https://www.datascience-contest.com/
Create conda environment and install the required packages by the following command:
conda create --name <env> --file requirements.txt
with the desired environment name in place of <env>.
Then, upload the data .csv files under datascience-contest/datasets. Datasets are not disclosed to the public.
All the models (including the Knapsack Solver) are written in model.py file. The imported models are trained and evaluated in train.py. Simply run the following code:
python train.py
to obtain the results. You may use --debug argument to shorten the training process and check whether the codes work properly. Once the training process is completed, the parameters will be saved under datascience-contest/saved_params/<current date and time>.