Time series decomposition tool
Tool demonstrating time series decomposition in Python.
Assumes uploaded data is clean.
Built With
Local setup
Obtain the repo locally and open its root folder
To potentially contribute
git clone https://github.com/pkiage/tool-time-series-decomposition-demo
or
gh repo clone pkiage/tool-credit-risk-modelling
Just to deploy locally
Download ZIP
(optional) Setup virtual environment:
python -m venv venv
(optional) Activate virtual environment:
If using Unix based OS run the following in terminal:
.\venv\bin\activate
If using Windows run the following in terminal:
.\venv\Scripts\activate
Install requirements by running the following in terminal:
Required packages
pip install -r requirements.txt
Build and install local package
python setup.py build
python setup.py install
Run the streamlit app (app.py) by running the following in terminal (from repository root folder):
streamlit run src/app.py
Project structure based on the cookiecutter data science project template.