code: def sampling_shap_1000(model, data):
      """IME 1000
      color = red_blue_circle(0.5)
      linestyle = dashed
      """
      return lambda X: SamplingExplainer(
          model.predict, data
      ).shap_values(X, nsamples=1000)
  
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 6 for calling a global function with example usage: sampling_shap_1000(model, data) and returns: function