rasa: ValueError: bad input shape (1, 5)

Rasa NLU version: 0.13.5 Python version: 3.6

Operating system: Ubuntu:17.10 or Docker-Ubuntu:17.10

Content of model configuration file:

language: "en"
pipeline: spacy_sklearn

Content of python file:

from rasa_nlu.training_data import load_data
from rasa_nlu.model import Trainer, Interpreter
from rasa_nlu import config



training_data = load_data('nlu_data.md') #tried with different datafiles from various sources both md or json
trainer = Trainer(config.load("rasa-config.yml"))
trainer.train(training_data)
model_directory = trainer.persist('./rasa_model')

interpreter = Interpreter.load(model_directory)

#same error for both
interpreter.parse(u"The text I want to understand")
interpreter.parse("The text I want to understand")

Output:

Fitting 2 folds for each of 6 candidates, totalling 12 fits
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[Parallel(n_jobs=1)]: Done  12 out of  12 | elapsed:    0.1s finished
/usr/local/lib/python3.6/dist-packages/rasa_nlu/extractors/entity_synonyms.py:85: UserWarning: Failed to load synonyms file from '/datas/./rasa_model/default/model_20180930-201701/entity_synonyms.json'
  "".format(entity_synonyms_file))
Traceback (most recent call last):
  File "test.py", line 15, in <module>
    interpreter.parse(u"The text I want to understand")
  File "/usr/local/lib/python3.6/dist-packages/rasa_nlu/model.py", line 357, in parse
    component.process(message, **self.context)
  File "/usr/local/lib/python3.6/dist-packages/rasa_nlu/classifiers/sklearn_intent_classifier.py", line 176, in process
    intents = self.transform_labels_num2str(intent_ids)
  File "/usr/local/lib/python3.6/dist-packages/rasa_nlu/classifiers/sklearn_intent_classifier.py", line 112, in transform_labels_num2str
    return self.le.inverse_transform(y)
  File "/usr/local/lib/python3.6/dist-packages/sklearn/preprocessing/label.py", line 273, in inverse_transform
    y = column_or_1d(y, warn=True)
  File "/usr/local/lib/python3.6/dist-packages/sklearn/utils/validation.py", line 788, in column_or_1d
    raise ValueError("bad input shape {0}".format(shape))
ValueError: bad input shape (1, 5)

Issue: Hello, im trying to run example from documentation https://rasa.com/docs/nlu/0.13.5/python/ but im getting ValueError: bad input shape (1, 5) is this issue or im doing something wrong ?