text: # -*- coding: utf-8 -*-
  """This module contains the Food Ordering Blueprint Application"""
  NLP_CONFIG = {
      "resolve_entities_using_nbest_transcripts": [],
      "system_entity_recognizer": {},
  }
  
  INTENT_MODEL_CONFIG = {
      "model_type": "text",
      "model_settings": {"classifier_type": "logreg"},
      "param_selection": {
          "type": "k-fold",
          "k": 5,
          "grid": {
              "fit_intercept": [True, False],
              "C": [0.01, 1, 10, 100],
              "class_bias": [0.7, 0.3, 0],
          },
      },
      "features": {
          "bag-of-words": {"lengths": [1, 2]},
          "edge-ngrams": {"lengths": [1, 2]},
          "in-gaz": {},
          "exact": {"scaling": 10},
          "gaz-freq": {},
          "freq": {"bins": 5},
      },
  }
  
  DOMAIN_MODEL_CONFIG = {
      "model_type": "text",
      "model_settings": {"classifier_type": "logreg"},
      "params": {
          "C": 10,
      },
      "features": {
          "bag-of-words": {"lengths": [1, 2]},
          "edge-ngrams": {"lengths": [1, 2]},
          "in-gaz": {},
          "exact": {"scaling": 10},
          "gaz-freq": {},
          "freq": {"bins": 5},
          "average-token-length": {},  # Custom feature
      },
  }
  
  MAX_HISTORY_LEN = 5
  