code: def tree_shap_tree_path_dependent(model, data):
      """TreeExplainer
      color = red_blue_circle(0)
      linestyle = solid
      """
      return TreeExplainer(
          model, feature_dependence="tree_path_dependent"
      ).shap_values
  
imports: import numpy
  import sklearn
  from ..None import DeepExplainer, GradientExplainer, KernelExplainer, LinearExplainer, SamplingExplainer, TreeExplainer, kmeans
  from ..explainers import other
  from .models import KerasWrap
label_desc: Use image node_id 7 for calling a global function with example usage: tree_shap_tree_path_dependent(model, data) and returns: TreeExplainer