pwlreg
A scikit-learn-compatible implementation of Piecewise Linear Regression
Installation
pip install pwlreg
Documentation
import numpy as np
import matplotlib.pyplot as plt
import pwlreg as pw
x = np.array([1., 2., 3., 4., 5., 6., 7., 8., 9., 10.])
y = np.array([1., 1.5, 0.5, 1., 1.25, 2.75, 4, 5.25, 6., 8.5])
m = pw.AutoPiecewiseRegression(n_segments=2, degree=[0, 1])
m.fit(x, y)
xx = np.linspace(1, 10, 100)
plt.plot(x, y, "o")
plt.plot(xx, m.predict(xx), "-")
plt.show()
m.coef_ # [ 1.00 -5.50 1.35 ]
m.breakpoints_ # [ 1.000000 4.814815 10.000000 ]
$$ x = \begin{cases} 1, & 1 \leq x < 4.815 \ -5.5 + 1.35x, & 4.815 \leq x < 10 \end{cases} $$
1 maintainer
Release files for pwlreg 1.0.3
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Source distribution (sdist)
| File | Size | Uploaded | |
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| pwlreg-1.0.3.tar.gz | 240.0 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pwlreg-1.0.3-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 247.6 kB
Release files / pwlreg-1.0.3.tar.gz
| Download URL | pwlreg-1.0.3.tar.gz |
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| Tags | Python 2 Python 3 |
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