Sample Code
import numpy as np
from sklearn.linear_model import SGDRegressor
inputs = [[1.0,1.0],[1.2,2.0],[0.9,0.6]]
outputs = [[1],[2],[0.9]]
X = np.array(inputs)
y = np.array(outputs)
reg = SGDRegressor()
reg.fit(X,y)
print(reg.intercept_)
print(reg.coef_)