code: def __init__(self, predictor, feature_names, target_class=None):
      self.ag_model = predictor
      self.feature_names = feature_names
      self.target_class = target_class
      if target_class is None and predictor.problem_type != REGRESSION:
          logging.warning(
              "Since target_class not specified, SHAP will explain predictions for each class"
          )
  
file_path: autogluon/eda/src/autogluon/eda/analysis/explain.py
imports: import logging
  import warnings
  from typing import List, Optional
  import numpy
  import pandas
  import shap
  from autogluon.core.constants import BINARY, REGRESSION
  from autogluon.eda import AnalysisState
  from autogluon.eda.analysis.base import AbstractAnalysis
label_desc: Use image node_id 1 to create a new _ShapAutoGluonWrapper object  with example: obj = _ShapAutoGluonWrapper(predictor, feature_names, target_class)