sklearn study notes[1]

LinearRegression

1. there is a following model for Linear LinearRegression.
   
   $w_0$ above is intercept.
   the following w is coef_.
   
   2.it is used to achieve LinearRegression that minimizing the residual sum of squares between the observed targets and the targets predicted by the linear approximation.
   

from sklearn import linear_model
reg = linear_model.LinearRegression()
reg.fit([[10, 10], [11, 1], [12, 12]], [10, 11, 12])
print(reg.coef_)
print(reg.intercept_)

references

1. https://scikit-learn.org/stable/