original_docstring:  The classic K-L k-nearest neighbor continuous entropy estimator for the
          entropy of X conditioned on Y.
      
docstring: The classic K-L k-nearest neighbor continuous entropy estimator for the
  entropy of X conditioned on Y.
docstring_tokens: The classic K - L k - nearest neighbor continuous entropy estimator for the entropy of X conditioned on Y .
code: def centropy(x, y, k=3, base=2):
      """ The classic K-L k-nearest neighbor continuous entropy estimator for the
          entropy of X conditioned on Y.
      """
      xy = np.c_[x, y]
      entropy_union_xy = entropy(xy, k=k, base=base)
      entropy_y = entropy(y, k=k, base=base)
      return entropy_union_xy - entropy_y
code_tokens: def centropy ( x , y , k = 3 , base = 2 ) : xy = np . c_ [ x , y ] entropy_union_xy = entropy ( xy , k = k , base = base ) entropy_y = entropy ( y , k = k , base = base ) return entropy_union_xy - entropy_y
short_docstring: The classic K-L k-nearest neighbor continuous entropy estimator for the
  entropy of X conditioned on Y.
short_docstring_tokens: The classic K - L k - nearest neighbor continuous entropy estimator for the entropy of X conditioned on Y .
comment: """ The classic K-L k-nearest neighbor continuous entropy estimator for the
          entropy of X conditioned on Y.
      """