code: def check(self):
      if len(self.shape) != 2:
          raise ValueError(
              "Expect the data to {input_name} to have shape "
              "(batch_size, num_features), but "
              "got input shape {shape}.".format(
                  input_name=self.get_input_name(), shape=self.shape
              )
          )
  
      # Fill in the column_names
      if self.column_names is None:
          if self.column_types:
              raise ValueError(
                  "column_names must be specified, if "
                  "column_types is specified."
              )
          self.column_names = [
              str(index) for index in range(self.shape[1])
          ]
  
      # Check if column_names has the correct length.
      if len(self.column_names) != self.shape[1]:
          raise ValueError(
              "Expect column_names to have length {expect} "
              "but got {actual}.".format(
                  expect=self.shape[1], actual=len(self.column_names)
              )
          )
  
imports: import numpy
  import tensorflow
  from autokeras.engine import analyser
label_desc: Use image node_id 6 for calling the StructuredDataAnalyser obj's underlying member method code with example usage: obj.check() without return types