'Results generated with
anes_data = sm.datasets.anes96.load()
anes_exog = anes_data.exog
anes_exog = sm.add_constant(anes_exog, prepend=False)
mlogit_mod = sm.MNLogit(anes_data.endog, anes_exog)
alpha = 10 * np.ones((mlogit_mod.J - 1, mlogit_mod.K))
alpha[-1,:] = 0
mlogit_l1_res = mlogit_mod.fit_regularized(
method=\'l1\', alpha=alpha, trim_mode=\'auto\', auto_trim_tol=0.02,
acc=1e-10)'

def mnlogit(self):

    self.params = [[0.00100163, (-0.05864195), (-0.06147822), (-0.04769671), (-0.05222987), (-0.09522432)], [0.0, 0.03186139, 0.12048999, 0.83211915, 0.92330292, 1.5680646], [(-0.0218185), (-0.01988066), (-0.00808564), (-0.00487463), (-0.01400173), (-0.00562079)], [0.0, 0.03306875, 0.0, 0.02362861, 0.05486435, 0.14656966], [0.0, 0.04448213, 0.03252651, 0.07661761, 0.07265266, 0.0967758], [0.90993803, (-0.50081247), (-2.08285102), (-5.26132955), (-4.86783179), (-9.31537963)]]
    self.conf_int = [[[(-0.0646223), 0.06662556], [np.nan, np.nan], [(-0.03405931), (-0.00957768)], [np.nan, np.nan], [np.nan, np.nan], [0.26697895, 1.55289711]], [[(-0.1337913), 0.01650741], [(-0.14477255), 0.20849532], [(-0.03500303), (-0.00475829)], [(-0.11406121), 0.18019871], [0.00479741, 0.08416684], [(-1.84626136), 0.84463642]], [[(-0.17237962), 0.04942317], [(-0.15146029), 0.39244026], [(-0.02947379), 0.01330252], [np.nan, np.nan], [(-0.02501483), 0.09006785], [(-3.90379391), (-0.26190812)]], [[(-0.12938296), 0.03398954], [0.62612955, 1.03810876], [(-0.02046322), 0.01071395], [(-0.13738534), 0.18464256], [0.03017236, 0.12306286], [(-6.91227465), (-3.61038444)]], [[(-0.12469773), 0.02023799], [0.742564, 1.10404183], [(-0.02791975), (-8.371e-05)], [(-0.08491561), 0.19464431], [0.0332926, 0.11201273], [(-6.29331126), (-3.44235233)]], [[(-0.17165567), (-0.01879296)], [1.33994079, 1.79618841], [(-0.02027503), 0.00903345], [(-0.00267819), 0.29581751], [0.05343135, 0.14012026], [(-11.10419107), (-7.52656819)]]]
    self.bse = [[0.03348221, 0.03834221, 0.05658338, 0.04167742, 0.03697408, 0.03899631], [np.nan, 0.09012101, 0.13875269, 0.10509867, 0.09221543, 0.11639184], [0.00624543, 0.00771564, 0.01091253, 0.00795351, 0.00710116, 0.00747679], [np.nan, 0.07506769, np.nan, 0.08215148, 0.07131762, 0.07614826], [np.nan, 0.02024768, 0.02935837, 0.02369699, 0.02008204, 0.02211492], [0.32804638, 0.68646613, 0.92906957, 0.84233441, 0.72729881, 0.91267567]]
    self.nnz_params = 32
    self.aic = 3019.4391360294126
    self.bic = 3174.6431733460686
