code: def evaluate(self, category_projection):
      assert type(category_projection) == CategoryProjection
      try:
          from astropy.stats import RipleysKEstimator
      except:
          raise Exception("Please install astropy")
      assert issubclass(
          type(category_projection), CategoryProjectionBase
      )
  
      ripley_estimator = RipleysKEstimator(
          area=1.0, x_max=1.0, y_max=1.0, x_min=0.0, y_min=0.0
      )
      proj = category_projection.projection[
          :, [category_projection.x_dim, category_projection.y_dim]
      ]
      scaled_proj = np.array(
          [stretch_0_to_1(proj.T[0]), stretch_0_to_1(proj.T[1])]
      ).T
      radii = np.linspace(0, self.max_distance, 1000)
      deviances = np.abs(
          ripley_estimator(scaled_proj, radii, mode="ripley")
          - ripley_estimator.poisson(radii)
      )
      return np.trapz(deviances, x=radii)
  
file_path: scattertext/scattertext/categoryprojector/CategoryProjectorEvaluator.py
imports: import scipy
  import numpy
  from sklearn.metrics.pairwise import cosine_similarity
  from scattertext.Scalers import stretch_0_to_1
  from scattertext.categoryprojector.CategoryProjection import CategoryProjection, CategoryProjectionBase
label_desc: Use image node_id 2 for calling the RipleyKCategoryProjectorEvaluator obj's underlying member method code with example usage: obj.evaluate(category_projection) and returns: np