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",")"]
docstr:  Check if a concept is contained in the embedding model
  :param doc: a concept
  :return:
docstr_tok: ["Check","if","a","concept","is","contained","in","the","embedding","model",":","param","doc",":","a","concept",":","return",":"]
code: def check_concept(self, concept):
      """
       Check if a concept is contained in the embedding model
      :param doc: a concept
      :return:
      """
      return True if concept in self._concepts else False
  
imports: from numpy import array
  from gensim import matutils
label_desc: Use image node_id 2 for calling the ConceptRelatedness obj's underlying member method code with example usage: obj.check_concept(concept) and returns: unknown