class_docstr: Data object used for all RasaModels.
  
  It contains all features needed to train the models.
  'data' is a mapping of attribute name, e.g. TEXT, INTENT, etc., and feature name,
  e.g. SENTENCE, SEQUENCE, etc., to a list of feature arrays representing the actual
  features.
  'label_key' and 'label_sub_key' point to the labels inside 'data'. For
  example, if your intent labels are stored under INTENT -> IDS, 'label_key' would
  be "INTENT" and 'label_sub_key' would be "IDS".
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docstr: Get the data under the given keys.
  
  Args:
      key: The key.
      sub_key: The optional sub key.
  
  Returns:
      The requested data.
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code: def get(
      self, key: Text, sub_key: Optional[Text] = None
  ) -> Union[Dict[Text, List[FeatureArray]], List[FeatureArray]]:
      """Get the data under the given keys.
  
      Args:
          key: The key.
          sub_key: The optional sub key.
  
      Returns:
          The requested data.
      """
      if sub_key is None and key in self.data:
          return self.data[key]
  
      if sub_key and key in self.data and sub_key in self.data[key]:
          return self.data[key][sub_key]
  
      return []
  
imports: import logging
  from typing import Optional, DefaultDict, Dict, Iterable, Text, List, Tuple, Any, Union, NamedTuple, ItemsView, overload, cast
  from collections import defaultdict, OrderedDict
  import numpy
  import scipy.sparse
  from sklearn.model_selection import train_test_split
label_desc: Use image node_id 4 for calling the RasaModelData obj's underlying member method code with example usage: obj.get(key, sub_key) and returns: list, self, self