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the class for Subgraph construction:

class ConstructSbugraph(variables, features, balance) [source]
Factor graph construction class

Parameters：

  • variables – input data of gml, the variable of the factor graph.
  • features – input data of gml, The characteristics of the factor graph.
  • balance – Whether balance the labels when constructing the subgraph. If the number of evidence variable labels(the number of 0 and 1)is quite large, it is set to True, otherwise it is set to False.

This class currently provides the following methods:

  1. construct_subgraph(evidences)[source]

    Function：A unified construct subgraph method,it is necessary to construct a factor graph containing single factors(parameterize or not) and double factors, and this function is called at this time.
    Parameters：
    · evidences - Variables, edges, and feature sets required when constructing factor graphs
    Returns：the data for Numbskull inference（weight, variable, factor, fmap, domain_mask, edges_num, var_map, alpha_bound, tau_bound, weight_map_feature, sample_list, wmap, wfactor）
    Return type：Multiple types