scipy.spatial.distance.
dice#
- scipy.spatial.distance.dice(u, v, w=None)[source]#
- Compute the Dice dissimilarity between two boolean 1-D arrays. - The Dice dissimilarity between u and v, is \[\frac{c_{TF} + c_{FT}} {2c_{TT} + c_{FT} + c_{TF}}\]- where \(c_{ij}\) is the number of occurrences of \(\mathtt{u[k]} = i\) and \(\mathtt{v[k]} = j\) for \(k < n\). - Parameters:
- u(N,) array_like, bool
- Input 1-D array. 
- v(N,) array_like, bool
- Input 1-D 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:
- dicedouble
- The Dice dissimilarity between 1-D arrays u and v. 
 
 - Notes - This function computes the Dice dissimilarity index. To compute the Dice similarity index, convert one to the other with similarity = 1 - dissimilarity. - Examples - >>> from scipy.spatial import distance >>> distance.dice([1, 0, 0], [0, 1, 0]) 1.0 >>> distance.dice([1, 0, 0], [1, 1, 0]) 0.3333333333333333 >>> distance.dice([1, 0, 0], [2, 0, 0]) -0.3333333333333333