class_docstr: A dummy model that ignores input features and predicts only a constant value.
  Useful for tests and calculating worst-case performance.
code: def preprocess(self, X: pd.DataFrame, **kwargs):
      return X
  
file_path: autogluon/core/src/autogluon/core/models/dummy/dummy_model.py
imports: import pandas
  from ...constants import BINARY, MULTICLASS, QUANTILE, REGRESSION
  from ..None import AbstractModel
  from ._dummy_quantile_regressor import DummyQuantileRegressor
label_desc: Use image node_id 2 for calling the DummyModel obj's underlying member method code with example usage: obj.preprocess(X) and returns: X