Metadata-Version: 2.4
Name: seds-regression-aamasouazene
Version: 1.0.0
Summary: Simple linear regression for SEDS Lab 3
Author: Ouazene
License-Expression: MIT
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Dynamic: license-file

# SEDS Simple Linear Regression

Dependency-free ordinary least-squares regression for one input feature.
Install: `pip install seds-regression-aamasouazene` (after publication).

```python
from seds_regression import SimpleLinearRegression

model = SimpleLinearRegression().fit([1, 2, 3, 4, 5], [2, 4, 5, 4, 5])
print(model.slope, model.intercept)  # 0.6, 2.2
print(model.predict([6, 7]))  # approximately [5.8, 6.4]
```

Fit requires equal-length finite samples and at least two distinct x values.
Predicting before fitting raises RuntimeError.
Build wheel and source archives using `python -m build`. License: MIT.
