past.Utils.spatial_prior_graph

past.Utils.spatial_prior_graph(feature_matrix, k_neighbors, v=1)

Construct spatial prior graph for metric learning

Parameters:

• feature_matrix – spatial corrdinate matrix

• k_neighbors – number of neighbors to construct graph

• v – scale factor in student’s t kernel

Returns:

spatial graph of sparse matrix format

Return type:

scipy.sparse.csr_matrx