n_states : int, default=None
Number of states for all variables. Inferred from data if not provided.
n_features : int, default=None
Number of features per node. Inferred from data if not provided.
n_edge_features : int, default=None
Number of features per edge. Inferred from data if not provided.
inference_method : string, default=”ad3”
Function to call do do inference and loss-augmented inference. Possible values are:
- ‘max-product’ for max-product belief propagation.
- ‘lp’ for Linear Programming relaxation using cvxopt.
- ‘ad3’ for AD3 dual decomposition.
- ‘qpbo’ for QPBO + alpha expansion.
class_weight : None, or array-like
Class weights. If an array-like is passed, it must have length n_classes. None means equal class weights.
symmetric_edge_features : None or list
Indices of edge features that are forced to be symmetric. Often the direction of the edge has no immediate meaning.
antisymmetric_edge_features : None or list
Indices of edge features that are forced to be anti-symmetric.
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