def test_vis_3d_weighted_mds_output_behaves_like_mds(self):
dis = np.random.rand(8, 10)
wes = np.ones((8, 10))
mes = "Euclidean"
des = {'session': 0, 'subj': 0}
rdms = rsr.RDMs(dissimilarities=dis,
dissimilarity_measure=mes,
descriptors=des)
mds_emb = rsv.mds(rdms, dim=3)
wmds_emb = rsv.mds(rdms, dim=3, weight=wes)
np.testing.assert_allclose(pdist(mds_emb[0]),
pdist(wmds_emb[0]),
atol=3e-1)
def test_vis_3d_mds_output_shape_corresponds_to_inputs(self):
dis = np.random.rand(8, 10)
mes = "Euclidean"
des = {'session': 0, 'subj': 0}
rdms = rsr.RDMs(dissimilarities=dis,
dissimilarity_measure=mes,
descriptors=des)
mds_emb = rsv.mds(rdms, dim=3)
self.assertEqual(mds_emb.shape, (8, 5, 3))