bulk_ct4_count_distance#

skfp.distances.bulk_ct4_count_distance(X: list | ndarray | csr_array, Y: list | ndarray | csr_array | None = None) → ndarray#

Bulk Consonni–Todeschini 4 distance for vectors of count values.

Computes the pairwise Consonni–Todeschini 4 distance between count matrices. If one array is passed, distances are computed between its rows. For two arrays, distances 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_distance().

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, distances are computed between rows of X.

Returns:

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

Return type:

ndarray