Metadata-Version: 2.1
Name: tfilterpy
Version: 0.0.1
Summary: This package is for Bayesian filtering models.
Home-page: https://github.com/leparalamapara/tfilterpY
Author: Thabang L. Mashinini- Sekgoto, Lebogang M. Mashinini-Sekgoto, Palesa D. Mashinini-Sekgoto
Author-email: thabangline@gmail.com
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
License-File: LICENSE


![This is an image](branding/logo/tfilters-logo.jpeg)

The **TFiterPy** is a Python package for implementing the Bayesian filter algorithms, that are widely used mathematical tools in estimation theory and control engineering. It can be used to estimate the state of a linear system in the presence of random noise.

## Installation

To install the **TFiterPy** package, you can use pip, the package installer for Python. Open a terminal and type the following command:

``` 
pip install tfiterpy
```

### Methods
Implemeted methods:
- **Kalman Filters**: 
- **Particle Filter**: TODO
    
    
