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 get_build_param(self, build_param):
      build_params = self.get_build_params()
  
      if build_param in build_params:
          return build_params[build_param]
  
      required_params = self.get_model_build_params()
  
      if (build_param in required_params) and (
          required_params[build_param] is not None
      ):
          return required_params[build_param]
  
      raise Exception(f"No value for {build_param} found.")
  
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 6 for calling the TFGraphBuilder obj's underlying member method code with example usage: obj.get_build_param(build_param) and returns: build_params, required_params