How to run the models: Install requirements shared by all models:
pip install sklearn
pip install pandas
pip install matplotlib
*Note, we are using the PIP python library manager
Requirements:
Python3 version 3.9.1 or later
pip install pytorch-lightning
python3 ./regression.py
Predictions will be written to Team7.csv.
Requirements:
Python3 version 3.9.1 or later
statsmodels version 0.12.1 or later
Run commands:
pip install statsmodels
./runSimple
*Note: statsmodels is a large library and could take some time to install
Predictions will be written to simpleAR_output.csv.
Requirements:
Python3 version 3.9.1 or later
statsmodels version 0.12.1 or later
Run commands:
pip install statsmodels
./runVAR
Predictions will be written to VAR_output.csv.
Requirements:
Python3 version 3.9.1 or later
Pytorch version 1.8.1 or later
Jupyter-Notebook version 6.3.0 or later
Run commands:
pip install torch
jupyter-notebook lstm.ipynb
After opening the Jupyter Notebook just run all the cells.
Predictions will be written to submission.csv.
Neural Network: 1.158
Autoregression: 1.240
Vector Autoregression: 1.445
LSTM: 5.980