code: def mean_abs_tree_shap(model, data):
      
      def f(X):
          v = TreeExplainer(model).shap_values(X)
          if isinstance(v, list):
              return [np.tile(np.abs(sv).mean(0), (X.shape[0], 1)) for sv in v]
          else:
              return np.tile(np.abs(v).mean(0), (X.shape[0], 1))
      return f
docs: mean(|TreeExplainer|)
      color = red_blue_circle(0.25)
      linestyle = solid