SEDS Simple Linear Regression
Dependency-free ordinary least-squares regression for one input feature.
Install: pip install seds-regression-aamasouazene (after publication).
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.
1 maintainer
Metadata
1 maintainer
Release files for seds-regression-aamasouazene 1.0.0
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