code: def pred_log_density(m):
      Xtest = np.linspace(X_data.min(), X_data.max(), 100).reshape(
          -1, 1
      )
      ys = np.arange(Y_data.max() + 1)
      densities = []
      for y in ys:
          Ytest = np.full_like(Xtest, y)
          # Predict the log density
          densities.append(m.predict_log_density((Xtest, Ytest)))
      return np.vstack(densities)
  
imports: import matplotlib.pyplot
  import numpy
  import gpflow
label_desc: Use image node_id 2 for calling a global function with example usage: pred_log_density(m) and returns: np