pyemb

Contents:

  • pyemb
    • pyemb package
  • Tutorials
pyemb
  • pyemb
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pyemb

  • pyemb package
    • Submodules
    • pyemb.preprocessing module
      • find_connected_components()
      • find_subgraph()
      • graph_from_dataframes()
      • largest_cc_of()
      • text_matrix_and_attributes()
      • time_series_matrix_and_attributes()
      • to_networkx()
    • pyemb.embedding module
      • ISE()
      • OMNI()
      • UASE()
      • dyn_embed()
      • eigen_decomp()
      • embed()
      • regularised_ULSE()
      • wasserstein_dimension_select()
    • pyemb.tools module
      • degree_correction()
      • recover_subspaces()
      • select()
      • to_laplacian()
      • varimax()
    • pyemb.plotting module
      • quick_plot()
      • snapshot_plot()
    • pyemb.hc module
      • ConstructTree
        • ConstructTree.model
        • ConstructTree.point_cloud
        • ConstructTree.epsilon
        • ConstructTree.linkage
        • ConstructTree.tree
        • ConstructTree.collapsed_branches
        • ConstructTree.fit()
        • ConstructTree.plot()
      • DotProductAgglomerativeClustering
        • DotProductAgglomerativeClustering.distances_
        • DotProductAgglomerativeClustering.children_
        • DotProductAgglomerativeClustering.labels_
        • DotProductAgglomerativeClustering.n_clusters_
        • DotProductAgglomerativeClustering.n_connected_components_
        • DotProductAgglomerativeClustering.n_leaves_
        • DotProductAgglomerativeClustering.n_features_in_
        • DotProductAgglomerativeClustering.n_clusters_
        • DotProductAgglomerativeClustering.fit()
      • branch_lengths()
      • cophenetic_distances()
      • find_descendents()
      • get_ranking()
      • kendalltau_similarity()
      • linkage_matrix()
      • plot_dendrogram()
      • sample_hyperbolicity()
    • pyemb.simulation module
      • SBM()
      • iid_SBM()
      • symmetrises()
    • Module contents
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