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It is now possible to generate constraints in order to prevent learning negative relationships.
For example, this is particularly useful when the dataset is made of binary variables indicating the presence and absence of failures. It can be important to focus only on the positive relationships to obtain fault signatures, i.e. failures that tends to occur at the same time.

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A class node_neg is created to list all the nodes with which the node has a direct negative relation.