About
This small project is an assignment in the course Large Scale Data Analysis
taken at IT University of Copenhagen. Its goal is to
predict power production based on the speed and direction of the wind.
Prerequisites
Python3
First, you need to have python3 installed. If not, you can do so here.
Virtual env (optional but recommended)
First, navigate to the folder where you are storing your venvs and then use venv to create virtual env for this project as follows:
python3 -m venv [name of venv]
Now, you can activate the venv through the command:
source [name of env]/bin/activate
Deactivate through:
deactivate
Lastly, make sure your pip is updated: pip install --upgrade pip. If you do not have pip installed, try to google how to install it based on your os.
Clone repo
Clone the repository to your desired folder locally.
Install the needed packages
Run the following command from the root of the cloned directory to install all dependencies into the virtual venv:
pip install -r requirements.txt
Quickstart
Allow execution of given bash script
Next, you need to allow execution of the bash script which allows you to run the
project from your command line assuming you have bash installed. Run the
following command from the root of your repo:
chmod +x run.sh
Run the pipeline
Finally, you can run the whole pipeline by executing:
./run.sh