code: def saabas(model, data):
      """Saabas
      color = red_blue_circle(0)
      linestyle = dotted
      """
      return lambda X: TreeExplainer(model).shap_values(
          X, approximate=True
      )
  
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 10 for calling a global function with example usage: saabas(model, data) and returns: function