code: def _update_instance(self, x):
      if self.num_col is None:
          self.num_col = len(x)
          self.count_numerical = np.zeros(self.num_col)
          self.count_categorical = np.zeros(self.num_col)
          for _ in range(len(x)):
              self.count_unique_numerical.append({})
      for i in range(self.num_col):
          x[i] = x[i].decode("utf-8")
          try:
              tmp_num = float(x[i])
              self.count_numerical[i] += 1
              if tmp_num not in self.count_unique_numerical[i]:
                  self.count_unique_numerical[i][tmp_num] = 1
              else:
                  self.count_unique_numerical[i][tmp_num] += 1
          except ValueError:
              self.count_categorical[i] += 1
  
imports: import numpy
  import tensorflow
  from autokeras.engine import analyser
label_desc: Use image node_id 3 for calling the StructuredDataAnalyser obj's underlying member method code with example usage: obj._update_instance(x) without return types