STRidge

Out:

[32.12551734 76.33080772 33.6926875   9.42759779  5.16621758 58.28693612
 29.43481665  7.18075454 10.30191944 75.31997019]
[28.61707383 69.15831382 29.89240922  8.88785683  4.38809077 53.08038878
 26.86251397  6.64254402  9.76695373 68.28360746]

import numpy as np
from sklearn.datasets import make_regression

from sparsereg.model.base import STRidge

x, y = make_regression(n_samples=1000, n_features=10, n_informative=10, n_targets=1, random_state=42)
coef = STRidge().fit(x, y).coef_
print(STRidge().fit(x, y).coef_)
print(STRidge(unbias=False).fit(x, y).coef_)