Metadata-Version: 2.4
Name: simple_regression_grqphical
Version: 0.2.0
Summary: This is a simple implementation of Linear Regression using the method of Least Squares
Project-URL: Homepage, https://github.com/grqphical/simple-regression
Project-URL: Documentation, https://github.com/grqphical/simple-regression#readme
Project-URL: Repository, https://github.com/grqphical/simple-regression.git
Project-URL: Issues, https://github.com/grqphical/simple-regression/issues
Project-URL: Changelog, https://github.com/grqphical/simple-regression/blob/main/CHANGELOG.md
Author-email: Nathan Jacobson <nathan@nathanjacobson.ca>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Description-Content-Type: text/markdown

# Simple Regression
This is a super simple implementation of Regression (Linear and Quadratic), built from scratch using numpy.

## Usage
Run:
```bash
pip install simple-regression-grqphical
```

Quickstart:
```python
from simple_regression import LinearRegression

data = [(0,0), (1, 3), (2, 5), (-3, 7)]
lr = LinearRegression(data)

y = lr.predict(7)
```

## License
This project is licensed under the MIT License