def pred_table(self):
        J = self.model.J
        # these are the actual, predicted indices
        idx = lzip(self.model.endog, self.predict().argmax(1))
        return np.histogram2d(self.model.endog, self.predict().argmax(1),
                              bins=J)[0]
Test methods which raise L{unittest.SkipTest} or have their C{skip}
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/discrete/discrete_model.py/MultinomialResults.pred_table--crossover with--dataset/ETHPy150Open nlloyd/SubliminalCollaborator/libs/twisted/trial/test/test_tests.py/SkipClassesMixin.test_reasons