python - 如何在套索回归或任何其他方法中生成 >0 的系数？

Question

我正在运行以下代码以生成所有正系数:

from sklearn.linear_model import Lasso

pos = Lasso(positive=True)
pos.fit(X,y)
list(pos.coef_)

上面的代码给了我积极的系数或“0”，但我需要所有积极的影响。

要求 = All Positive coefficient(Coefficient should not be Zero(0))

如何执行上述任务？

Answer 1

lasso = Lasso(alpha=1, positive=True)
lasso_coeff['Coefficient Estimates] = pd.Series(lasso.coef_)
print(lasso_coeff)

# The above set of lines will force the coefficients to positive.