Metadata-Version: 2.4
Name: spinex_sr
Version: 0.1.0
Summary: Symbolic Regression with SPINEX algorithm
Home-page: https://github.com/mznaser-clemsonr
Author: M.Z. Naser
Author-email: mznaser@clemson.edu
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.19.0
Requires-Dist: sympy>=1.7.0
Requires-Dist: scikit-learn>=0.24.0
Requires-Dist: scipy>=1.6.0
Requires-Dist: joblib>=1.0.0
Requires-Dist: matplotlib>=3.3.0
Requires-Dist: termcolor>=1.1.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# SPINEX Symbolic Regression

A Python implementation of symbolic regression from the SPINEX family.

## Installation

```bash
pip install spinex-sr
```

## Quick Start

```python
import pandas as pd
from spinex_sr import SPINEX_SymbolicRegression

# Sample data
data = pd.DataFrame({
    'x1': [1, 2, 3],
    'x2': [4, 5, 6]
})
target = [5, 7, 9]

# Initialize and run
sr = SPINEX_SymbolicRegression(
    data=data,
    target=target,
    actual_function="x1 + x2",
    population_size=50,
    generations=20
)
best_expression = sr.evolve()
print(f"Best expression found: {best_expression}")
```
