class_docstr: Generic class to create the tensorflow graphs for 'ner_dl', 'generic_classifier', 'assertion_dl', 'relation_extraction' annotators in spark-nlp healthcare
  
  Examples
  --------
  >>> from sparknlp.training.tfgraphs import tf_graph_1x
  >>> tf_graph_1x.get_models()
class_docstr_tok: ["Generic","class","to","create","the","tensorflow","graphs","for","'ner_dl","'",",","'generic_classifier","'",",","'assertion_dl","'",",","'relation_extraction","'","annotators","in","spark-nlp","healthcare","Examples","--","--","--","--",">",">",">","from","sparknlp.training.tfgraphs","import","tf_graph_1x",">",">",">","tf_graph_1x.get_models","(",")"]
code: def check_build_params(self):
      build_params = self.get_build_params()
      required_params = self.get_model_build_params()
  
      for req_param in required_params:
          if req_param not in build_params:
              if required_params[req_param] is None:
                  raise Exception(
                      f"You need to specify a value for {req_param} in the build parameters."
                  )
  
imports: import os
  import re
  from sparknlp.internal import _ResourceHelper_moveFile
  from sparknlp.training._tf_graph_builders.ner_dl.create_graph import create_graph
label_desc: Use image node_id 3 for calling the TFGraphBuilder obj's underlying member method code with example usage: obj.check_build_params() without return types