code: def K(self, X, X2=None):
      if X2 is None:
          X2 = X
      return self.variance * tf.minimum(X, tf.transpose(X2))
  
file_path: GPflow/doc/sphinx/notebooks/tailor/kernel_design.pct.py
imports: import matplotlib.pyplot
  import numpy
  import tensorflow
  import gpflow
  from gpflow.utilities import positive, print_summary
label_desc: Use image node_id 2 for calling the Brownian obj's underlying member method code with example usage: obj.K(X, X2) and returns: unknown