bulk_russell_binary_similarity

skfp.distances.bulk_russell_binary_similarity(X: list | ndarray | csr_array, Y: list | ndarray | csr_array | None = None) → ndarray

Bulk Russell similarity for binary matrices.

Computes the pairwise Russell similarity between binary matrices. If one array is passed, similarities are computed between its rows. For two arrays, similarities are between their respective rows, with i-th row and j-th column in output corresponding to i-th row from the first array and j-th row from the second array.

See also russell_binary_similarity().

Parameters:

• X (ndarray or CSR sparse array) – First binary input array, of shape \(m \times d\)

• Y (ndarray or CSR sparse array, default=None) – Second binary input array, of shape \(n \times d\). If not passed, similarities are computed between rows of X.

Returns:

similarities – Array with pairwise Russell similarity values. Shape is \(m \times n\) if two arrays are passed, or \(m \times m\) otherwise.

Return type:

ndarray