Metadata-Version: 2.3
Name: panelforecast
Version: 0.1.5
Summary: A comprehensive library for panel data forecasting
License: MIT
Author: Kajaani Balabavan
Author-email: kajaani.20@cse.mrt.ac.lk
Requires-Python: >=3.9,<3.14
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Provides-Extra: all
Provides-Extra: dev
Provides-Extra: tuning
Provides-Extra: viz
Requires-Dist: numpy (>=1.21)
Requires-Dist: pandas (>=1.3)
Requires-Dist: scikit-learn (>=1.0)
Requires-Dist: torch (>=1.0)
Project-URL: Homepage, https://github.com/aaivu/panelforecast
Project-URL: Repository, https://github.com/aaivu/panelforecast
Description-Content-Type: text/markdown

# PanelForecast 📈

**panelforecast** is a PyTorch-based library for forecasting panel data using deep learning models like LSTM, BiLSTM, GRU, and Transformer models.

## Features

- Easy loading and preprocessing of panel datasets
- Sequence generation for multi-entity time series
- Modular model training and evaluation pipeline

