def _tree_to_labels(X, single_linkage_tree, min_cluster_size=10,
                    cluster_selection_method='eom',
                    allow_single_cluster=False,
                    match_reference_implementation=False):
    """Converts a pretrained tree and cluster size into a
    set of labels and probabilities.
    """
    condensed_tree = condense_tree(single_linkage_tree,
                                   min_cluster_size)
    stability_dict = compute_stability(condensed_tree)
    labels, probabilities, stabilities = get_clusters(condensed_tree,
                                                      stability_dict,
                                                      cluster_selection_method,
                                                      allow_single_cluster,
                                                      match_reference_implementation)

    return (labels, probabilities, stabilities, condensed_tree,
            single_linkage_tree)
def _tree_to_labels ( X , single_linkage_tree , min_cluster_size = 10 , cluster_selection_method = 'eom' , allow_single_cluster = False , match_reference_implementation = False ) : condensed_tree = condense_tree ( single_linkage_tree , min_cluster_size ) stability_dict = compute_stability ( condensed_tree ) labels , probabilities , stabilities = get_clusters ( condensed_tree , stability_dict , cluster_selection_method , allow_single_cluster , match_reference_implementation ) return ( labels , probabilities , stabilities , condensed_tree , single_linkage_tree )
Converts a pretrained tree and cluster size into a
    set of labels and probabilities.