simple-linreg
Simple linear regression implemented from scratch with NumPy (SEDS Lab 3).
Installation
pip install simple-linreg
Usage
from simple_linreg import LinearRegression
x = [1, 2, 3, 4, 5]
y = [2.1, 3.9, 6.2, 7.8, 10.1]
model = LinearRegression().fit(x, y)
model.predict([6]) # array([12.0])
model.score(x, y) # R^2
model.summary(x, y) # {'intercept': ..., 'slope': ..., 'R2': ..., 'std_err': ...}
License
1 maintainer
Metadata
1 maintainer
Release files for simple-linreg 0.1.0
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| File | Size | Uploaded | Provenance | |
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Total release size: 6.9 kB
Release files / simple_linreg-0.1.0.tar.gz
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Release files / simple_linreg-0.1.0-py3-none-any.whl
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| Size | 3.5 kB |
| Tags | Python 3 |
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