linreg-scratch
Simple linear regression (y = m*x + b) implemented from scratch with NumPy.
Install
pip install linreg-scratch
Usage
import numpy as np
from linreg_scratch import LinearRegression
x = np.array([1, 2, 3, 4, 5])
y = np.array([3, 5, 7, 9, 11])
model = LinearRegression(lr=0.01, epochs=5000) # gradient descent
model.fit(x, y)
print(model.m, model.b) # slope, intercept
print(model.predict([6, 7])) # predictions
print(model.score(x, y)) # R^2
# exact solution instead of gradient descent
LinearRegression(solver="closed").fit(x, y)
Development
pip install -e . pytest
pytest
1 maintainer
Metadata
1 maintainer
Release files for linreg-scratch 0.1.0
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| File | Size | Uploaded | Provenance | Actions |
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| linreg_scratch-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for linreg_scratch-0.1.0-py3-none-any.whl |
Total release size: 7.8 kB
Release files / linreg_scratch-0.1.0.tar.gz
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| Download URL | linreg_scratch-0.1.0-py3-none-any.whl |
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| Size | 3.9 kB |
| Tags | Python 3 |
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