How to use the susi.modify_weight_matrix_online function in susi
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felixriese / susi / tests / test_SOMClustering.py View on Github 
def test_modify_weight_matrix_online(n_rows, n_columns, random_state,
n_iter_unsupervised, X, learningrate,
neighborhood_func, bmu_pos, dp, expected):
som_clustering = susi.SOMClustering(
n_rows=n_rows, n_columns=n_columns,
n_iter_unsupervised=n_iter_unsupervised, random_state=random_state)
som_clustering.fit(X)
assert np.allclose(susi.modify_weight_matrix_online(
som_array=som_clustering.unsuper_som_,
learningrate=learningrate,
dist_weight_matrix=som_clustering.get_nbh_distance_weight_matrix(
neighborhood_func, bmu_pos),
true_vector=som_clustering.X_[dp]), expected, atol=1e-8)susi
Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
