code: def kernel_shap_1000_meanref(model, data):
      """Kernel SHAP 1000 mean ref.
      color = red_blue_circle(0.5)
      linestyle = solid
      """
      return lambda X: KernelExplainer(
          model.predict, kmeans(data, 1)
      ).shap_values(X, nsamples=1000, l1_reg=0)
  
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 5 for calling a global function with example usage: kernel_shap_1000_meanref(model, data) and returns: function