code: def dropout(self, min_dropout=0, max_dropout=0.85, steps=0.1):
      self._append_params(
          "dropout",
          np.round(
              np.arange(min_dropout, max_dropout, steps), 2
          ).tolist(),
      )
  
imports: import numpy
  from tensorflow.keras.optimizers import Adam, Nadam, Adadelta, SGD
label_desc: Use image node_id 6 for calling the AutoParams obj's underlying member method code with example usage: obj.dropout(min_dropout, max_dropout, steps) without return types