Metadata-Version: 2.4
Name: autofuzzts
Version: 0.1.0
Summary: Automated fuzzy time series forecasting library
Home-page: https://github.com/jtimko16/AutoFuzzTS
Author: Jan Timko
Author-email: Jan Timko <jantimko16@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/jtimko16/AutoFuzzTS
Project-URL: Bug Tracker, https://github.com/jtimko16/AutoFuzzTS/issues
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.26.0
Requires-Dist: pandas>=2.2.0
Requires-Dist: scikit-learn>=1.5.0
Requires-Dist: scipy>=1.15.0
Requires-Dist: xgboost>=3.0.0
Requires-Dist: lightgbm>=4.6.0
Requires-Dist: tpot>=1.0.0
Requires-Dist: optuna>=4.3.0
Requires-Dist: matplotlib>=3.10.0
Requires-Dist: seaborn>=0.13.0
Requires-Dist: requests>=2.32.0
Requires-Dist: PyYAML>=6.0.0
Requires-Dist: joblib>=1.4.0
Requires-Dist: tqdm>=4.67.0
Dynamic: author
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python

# AutoFuzzTS

Automated fuzzy time series forecasting library in Python.  
Build and evaluate time series models automatically using fuzzy logic and AutoML techniques.

## Installation

```bash
pip install autofuzzts
