code: def _deserialize_feature(self, feature_name):
      if feature_name in self._deserialized_features:
          return self._deserialized_features[feature_name]
  
      feature_dict = self.features_dict["feature_definitions"][
          feature_name
      ]
      dependencies_list = feature_dict["dependencies"]
      primitive = None
      primitive_id = feature_dict["arguments"].get("primitive")
      if primitive_id is not None:
          primitive = self._deserialized_primitives[primitive_id]
  
      # Collect dependencies into a dictionary of name -> feature.
      dependencies = {
          dependency: self._deserialize_feature(dependency)
          for dependency in dependencies_list
      }
  
      type = feature_dict["type"]
      cls = self.FEATURE_CLASSES.get(type)
      if not cls:
          raise RuntimeError('Unrecognized feature type "%s"' % type)
  
      args = feature_dict["arguments"]
      feature = cls.from_dictionary(
          args, self.entityset, dependencies, primitive
      )
  
      self._deserialized_features[feature_name] = feature
      return feature
  
file_path: featuretools/featuretools/feature_base/features_deserializer.py
imports: import json
  from featuretools.entityset.deserialize import description_to_entityset
  from featuretools.feature_base.feature_base import AggregationFeature, DirectFeature, Feature, FeatureBase, FeatureOutputSlice, GroupByTransformFeature, IdentityFeature, TransformFeature
  from featuretools.primitives.utils import PrimitivesDeserializer
  from featuretools.utils.s3_utils import get_transport_params, use_smartopen_features
  from featuretools.utils.schema_utils import check_schema_version
  from featuretools.utils.wrangle import _is_s3, _is_url
label_desc: Use image node_id 4 for calling the FeaturesDeserializer obj's underlying member method code with example usage: obj._deserialize_feature(feature_name) and returns: feature, self