This package is for Bayesian filtering models.
Project description
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
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