run_method_KDTree_index

[nmaffe]

At inference time to reduce the computational cost I can set the maximum number of geometries to, for e.g., 10000:

distances, indices = kdtree.query(points_coords_array, k=min(10000,len(geoseries_geometries_epsg)))

[nmaffe]

Perform nearest neighbor search for each point and calculate minimum distances