Installation
Getting started with TFiltersPy is as easy as Pi 🥧! No complicated rituals or secret handshakes—just open your terminal and run:
pip install tfilterspy
That’s it! You’re all set to start filtering out the noise and revealing the hidden states in your data.
Installing from Source
Prefer to tinker under the hood or contribute to the project? Clone the repo and install it in editable mode:
git clone https://github.com/ubunye-ai-ecosystems/tfilterspy.git
cd tfilterspy
pip install -e .
This lets you edit the code and immediately test your changes without needing to reinstall. Great for hacking, debugging, or extending the library!
Requirements
TFiltersPy is built on top of:
Dask for parallel and scalable computation.
Matplotlib and Seaborn (optional) for visualizing filter outputs.
You can install optional dev dependencies like this:
pip install -r requirements-dev.txt
🎉 Now let the magic of Bayesian filtering begin! Enjoy turning noisy chaos into smooth, interpretable insights with TFiltersPy.