my_classifiers = {'logit': '<trained_logit_here>',
                  'KNN' : '<trained_KNN_here>'
                  }
pickle._dump(my_classifiers, open(filename, 'wb'))

loaded_classifiers = pickle.load(open(filename, 'rb'))
logit_model = loaded_classifiers['logit']
knn_model = loaded_classifiers['KNN']

results = logit_model.predict(X)