code: def maple(model, data):
      """MAPLE
      color = red_blue_circle(0.6)
      """
      return lambda X: other.MapleExplainer(
          model.predict, data
      ).attributions(X, multiply_by_input=False)
  
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 14 for calling a global function with example usage: maple(model, data) and returns: function