spamosaic.MNN.nn

spamosaic.MNN.nn(ds1, ds2, names1, names2, knn=50, metric_p=2)[source]

Exact nearest-neighbor search using scikit-learn.

Parameters:

  • ds1 (np.ndarray) – Query dataset of shape (N1, D).

  • ds2 (np.ndarray) – Reference dataset of shape (N2, D).

  • names1 (list of str) – Identifiers for rows in ds1.

  • names2 (list of str) – Identifiers for rows in ds2.

  • knn (int) – Number of nearest neighbors to retrieve for each query.

  • metric_p (int) – Minkowski distance parameter (e.g., 2 for Euclidean).

Returns:

Set of matched nearest-neighbor pairs.

Return type:

set[tuple[str, str]]