scipy.spatial.distance.
yule#
- scipy.spatial.distance.yule(u, v, w=None)[source]#
- Compute the Yule dissimilarity between two boolean 1-D arrays. - The Yule dissimilarity is defined as \[\frac{R}{c_{TT} * c_{FF} + \frac{R}{2}}\]- where \(c_{ij}\) is the number of occurrences of \(\mathtt{u[k]} = i\) and \(\mathtt{v[k]} = j\) for \(k < n\) and \(R = 2.0 * c_{TF} * c_{FT}\). - Parameters:
- u(N,) array_like, bool
- Input array. 
- v(N,) array_like, bool
- Input array. 
- w(N,) array_like, optional
- The weights for each value in u and v. Default is None, which gives each value a weight of 1.0 
 
- Returns:
- yuledouble
- The Yule dissimilarity between vectors u and v. 
 
 - Examples - >>> from scipy.spatial import distance >>> distance.yule([1, 0, 0], [0, 1, 0]) 2.0 >>> distance.yule([1, 1, 0], [0, 1, 0]) 0.0