Metadata-Version: 2.2
Name: DaeFinder
Version: 0.2.0
Summary: A Python package to discover Differential Algebraic Equations from data.
Home-page: https://github.com/mjayadharan/DAE-FINDER_dev
Author: Manu Jayadharan
Author-email: manu.jayadharan@gmail.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: sympy
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: joblib
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
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# DaeFinder

DaeFinder is a Python package to discover Differential Algebraic Equations (DAEs) from data.

## Features
- Solve and analyze toy enzyme kinetics models.
- Smooth noisy data and calculate derivatives.
- Generate polynomial features for regression models.
- Support for sparse feature coupling.

## Installation
Install the package via pip:
```bash
pip install DaeFinder
