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_model_build_params(self):
      return {}
  
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 7 for calling the TFGraphBuilder obj's underlying member method code with example usage: obj.get_model_build_params() and returns: dict