code: def lime_tabular_classification_1000(model, data):
      """LIME Tabular 1000
      color = red_blue_circle(0.75)
      """
      return lambda X: other.LimeTabularExplainer(
          model.predict_proba, data, mode="classification"
      ).attributions(X, nsamples=1000)[1]
  
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 13 for calling a global function with example usage: lime_tabular_classification_1000(model, data) and returns: function