weights_ridge = {}
for i in reg_fact:
    clf = sklearn.linear_model.Ridge(alpha = i, fit_intercept=True)
    model = clf.fit(Omega, y)
    weights_ridge['reg_fact={}'.format(i)] = model.coef_
print(weights_ridge)
weights_ridge = {}
for i in reg_fact:
    clf = sklearn.linear_model.Ridge(alpha = i, fit_intercept=False)
    model = clf.fit(Omega, y)
    weights_ridge['reg_fact={}'.format(i)] = model.coef_
print(weights_ridge)