

@classmethod
def setupClass(cls):
    data = sm.datasets.spector.load()
    data.exog = sm.add_constant(data.exog, prepend=True)
    cls.alpha = (3 * np.array([0.0, 1.0, 1.0, 1.0]))
    cls.res1 = Logit(data.endog, data.exog).fit_regularized(method='l1', alpha=cls.alpha, disp=0, trim_mode='size', size_trim_tol=1e-05, acc=1e-10, maxiter=1000)
    res2 = DiscreteL1()
    res2.logit()
    cls.res2 = res2

dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/discrete/tests/test_discrete.py TestLogitL1.setupClass/original