lr3.py

# Model's Definition and Training
model = LinearRegression(fit_intercept = True)
model.fit(X_train, y_train)

# Creating test sets
X_test = 2 * np.random.random_sample((10, 1))
y_test = gradient * X_test + w0 + 0.1 * np.random.random_sample((10, 1))

# Score
r2 = model.score(X_test, y_test)
print("Gradient : {}\nBias w0 : {}\nR2 : {}".format(model.coef_,
                                                    model.intercept_,
                                                    r2))