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README.md

STATS 451 - Bayesian Data Analysis - Final Project

Our paper is Avocado_Price_Forecasting_with_Gaussian_Processes.pdf

To run code:

Run the following commands from the terminal on linux/mac

To setup:

python3 -m venv env
source env/bin/activate
pip install --upgrade pip setuptools wheel
pip install -e .

After setup run:

python3 models/main.py

Depending on your operating system, running the above line may automatically open the matplotlib plotting environment with the guassian process visualization.

If this is not the case, then the plot will be stored as a png file in /figures. This folder has many image files, the most recently generated will be at the bottom.

Model performance statistics and hyperparameter selection is printed to stdout.

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