Metadata-Version: 2.4
Name: predipy
Version: 0.2.0
Summary: Lightweight Python library for prediction & regression
Home-page: https://example.com/
Author: Iyazkasep
Author-email: Iyaz.kasep2009@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: author-email
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python

# Predipy

ML lib Python + Go.

## Setup
1. Go: cd go_backend && go mod tidy && go build -o main main.go
2. Python: pip install -e .

## Run Example
python examples/example_regression.py

## Test
pytest tests/

# Predipy

**Predipy** is a lightweight Python ML library with a Go backend for fast regression and KNN classification.  
It supports linear regression and K-Nearest Neighbors (KNN) for regression & classification.

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## Features

- Linear regression with normal equation + optional ridge regularization.
- KNN classification with Euclidean distance.
- Lightweight, fast, and works offline.
- Go backend for computational efficiency.
- Easy Python interface.

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## Installation

Install from PyPI:

```bash
pip install predipy
