docstr: Sets column names of input annotations.
  
  Parameters
  ----------
  *value : str
      Input columns for the annotator
docstr_tok: ["Sets","column","names","of","input","annotations",".","Parameters","--","--","--","--","--","*","value",":","str","Input","columns","for","the","annotator"]
code: def setInputCols(self, *value):
      """Sets column names of input annotations.
  
      Parameters
      ----------
      *value : str
          Input columns for the annotator
      """
      if type(value[0]) == str or type(value[0]) == list:
          self.inputColsValidation(value)
          if len(value) == 1 and type(value[0]) == list:
              return self._set(inputCols=value[0])
          else:
              return self._set(inputCols=list(value))
      else:
          raise TypeError(
              "InputCols datatype not supported. It must be either str or list"
          )
  
imports: from pyspark.ml import Model, Estimator
  from pyspark.ml.util import DefaultParamsWritable, DefaultParamsReadable
  from sparknlp.common import *
label_desc: Use image node_id 5 for calling the TFNerDLGraphBuilder obj's underlying member method code with example usage: obj.setInputCols() and returns: self, self