def __call__(self, dataset):
# create the dissimilarity matrix for the data in the input dataset
self.dset_dsm = DSMatrix(dataset.samples, self.dset_metric)
in_vec = self.dsmatrix.get_vector_form()
dset_vec = self.dset_dsm.get_vector_form()
# concatenate the two vectors, send to dissimlarity function
test_mat = np.asarray([in_vec, dset_vec])
test_dsmatrix = DSMatrix(test_mat, self.output_metric)
# return correct dissimilarity value
return test_dsmatrix.get_full_matrix()[0, 1]
