class_docstr: This class is used for concept embedding (knowledge graph types (ontology classes, wiki categories)
class_docstr_tok: ["This","class","is","used","for","concept","embedding","(","knowledge","graph","types","(","ontology","classes",",","wiki","categories",")"]
code: def __init__(self, model):
      WordRelatedness.__init__(self, model)
      self._concepts = set([c for c in self._model.docvecs.doctags])
      self._words = set([w for w in self._model.vocab])
  
imports: from numpy import array
  from gensim import matutils
label_desc: Use image node_id 1 to create a new ConceptRelatedness object from inherited base classes: WordRelatedness with example: obj = ConceptRelatedness(model)