bulk_ct4_count_similarity

skfp.distances.bulk_ct4_count_similarity(X: list | ndarray | csr_array, Y: list | ndarray | csr_array | None = None) → ndarray

Bulk Consonni–Todeschini 4 similarity for count matrices.

Computes the pairwise Consonni–Todeschini 4 similarity between count 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 ct4_count_similarity().

Parameters:

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

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

Returns:

similarities – Array with pairwise CT4 similarity values. Shape is \(m \times n\) if two arrays are passed, or \(m \times m\) otherwise.

Return type:

ndarray