scipy.spatial.distance.jaccard¶

scipy.spatial.distance.
jaccard
(u, v, w=None)[source]¶ Computes the JaccardNeedham dissimilarity between two boolean 1D arrays.
The JaccardNeedham dissimilarity between 1D boolean arrays u and v, is defined as
\[\frac{c_{TF} + c_{FT}} {c_{TT} + c_{FT} + c_{TF}}\]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 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: jaccard : double
The Jaccard distance between vectors u and v.