Metadata-Version: 2.1
Name: timemesh
Version: 0.2.0
Summary: Spatio-temporal data preparation toolkit
Home-page: https://github.com/L-A-Sandhu/timemesh
License: MIT
Keywords: time-series,machine learning,data preprocessing
Author: Laeeq
Author-email: Laeeq.aslam.100@gmail.com
Requires-Python: >=3.12,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: numpy (>=1.21.0)
Requires-Dist: pandas (>=2.0.3)
Requires-Dist: scikit-learn (>=1.0.0)
Requires-Dist: xarray (>=2023.1.0)
Project-URL: Documentation, https://github.com/L-A-Sandhu/timemesh/blob/main/README.md
Project-URL: Repository, https://github.com/L-A-Sandhu/timemesh
Description-Content-Type: text/markdown

# TimeMesh

A Python library for temporal and spatio-temporal data preparation, feature engineering, and windowing.

## Installation
```bash
pip install stloader

## Installation
```bash
pip install stloader

## Usage 

from stloader import DataLoader

loader = DataLoader(T=5, H=2)
X, y = loader.load_csv("data.csv")



