title: Rasa NLU failing to classify intent
body: <p>I'm running rasa-nlu on a docker container.
  trying to train it on my data and then performing requests to the http server, which always result as follow:</p>
  
  <blockquote>
    <p><code>"intent": { "confidence": 1.0, "name": "None" }</code></p>
  </blockquote>
  
  <p>I'm running a config file as follows:</p>
  
  <pre><code>{
    "name": null,
    "pipeline": "mitie",
    "language": "en",
    "num_threads": 4,
    "max_training_processes": 1,
    "path": "./models",
    "response_log": "logs",
    "config": "config.json",
    "log_level": "INFO",
    "port": 5000,
    "data": "./data/test/demo-rasa.json",
    "emulate": null,
    "log_file": null,
    "mitie_file": "./data/total_word_feature_extractor.dat",
    "spacy_model_name": null,
    "server_model_dirs": null,
    "token": null,
    "cors_origins": [],
    "aws_endpoint_url": null,
    "max_number_of_ngrams": 7,
    "duckling_dimensions": null,
    "entity_crf_BILOU_flag": true,
    "entity_crf_features": [
      ["low", "title", "upper", "pos", "pos2"],
      ["bias", "low", "word3", "word2", "upper", "title", "digit", "pos", "pos2", "p
  attern"],
      ["low", "title", "upper", "pos", "pos2"]]
  }
  </code></pre>
  
  <ol>
  <li><p>What's the reason for that behaviour?</p></li>
  <li><p>The models folder contains the trained
  model inside another nested folder, is it ok?</p></li>
  </ol>
  
  <p>Thanks.</p>