code: def predict(self, y_pred, **kwargs):
      # note: this is not conventional use of API: we pass y_pred since we already have predictions done
      return y_pred
  
imports: from typing import Any, Dict, Optional
  import matplotlib.pyplot
  import pandas
  import seaborn
  from yellowbrick.contrib.wrapper import REGRESSOR, ContribEstimator
  from yellowbrick.regressor import residuals_plot
  from autogluon.core.constants import REGRESSION
  from ..state import AnalysisState
  from .base import AbstractVisualization
  from .jupyter import JupyterMixin
label_desc: Use image node_id 2 for calling the _YellowbrickAutoGluonWrapper obj's underlying member method code with example usage: obj.predict(y_pred) and returns: y_pred