metadata
title: Time Series Autocorrelation Demo
emoji: π
colorFrom: indigo
colorTo: blue
sdk: streamlit
sdk_version: 1.17.0
app_file: app.py
pinned: false
license: openrail
Time series autocorrelation tool
Tool demonstrating time series autocorrelation analysis with 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-autocorrelation-demo
or
gh repo clone pkiage/tool-time-series-autocorrelation-demo
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.
Hugging Face Tips
- When syncing with Hugging Face via Github Actions the User Access Token created on Hugging Face (HF) should have write access
- When creating the Spaces Configuration Reference ensure the Streamlit Space version (sdk_version) specified is supported by HF