n_labels : int, default=2
Number of states for observed variables.
n_hidden_states : int, default=2
Number of states for hidden variables.
n_features : int, default=None
Number of features per node. None means n_states.
inference_method : string, default=None
Function to call to do inference and loss-augmented inference. Possible values are:
- ‘max-product’ for max-product belief propagation.
Recommended for chains an trees. Loopy belief propagatin in case of a general graph.
‘lp’ for Linear Programming relaxation using cvxopt.
‘ad3’ for AD3 dual decomposition.
‘qpbo’ for QPBO + alpha expansion.
‘ogm’ for OpenGM inference algorithms.
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.
latent_node_features : bool, default=False
Whether latent nodes have features. We assume that if True, the number of features is the same as for visible nodes.
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