def test_crossvalidator_ndarrays_and_lists(self):
xvalor = CrossValidator(Optimist, self.folds, learn_func=Optimist.train)
#test using ndarray types for x and y
rv = xvalor.crossvalidate(self.x, np.array(self.y))
self.assertEqual(rv.stats.get(DiscretePerfStats.ACCURACY).mu, self.accuracy)
#test using lists for x and y
rv = xvalor.validate(self.x.tolist(), self.y)
self.assertEqual(rv.stats.get(DiscretePerfStats.ACCURACY).mu, self.accuracy)
#using list for x and ndarray for y
rv = xvalor.crossvalidate(self.x.tolist(), np.array(self.y))
self.assertEqual(rv.stats.get(DiscretePerfStats.ACCURACY).mu, self.accuracy)
#using ndarray for x and list for y
rv = xvalor.validate(self.x, self.y)
self.assertEquals(rv.stats.get(DiscretePerfStats.ACCURACY).mu, self.accuracy)
