def testSMLRSensitivities(self):
data = normalFeatureDataset(perlabel=10, nlabels=2, nfeatures=4)
# use SMLR on binary problem, but not fitting all weights
clf = SMLR(fit_all_weights=False)
clf.train(data)
# now ask for the sensitivities WITHOUT having to pass the dataset
# again
sens = clf.getSensitivityAnalyzer(force_training=False)()
self.failUnless(sens.shape == (data.nfeatures,))
