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This function is only relevant when we are computing asymmetric Shapley values. For symmetric Shapley values (both regular and causal), all coalitions are allowed.
get_valid_causal_coalitions(
causal_ordering,
sort_features_in_coalitions = TRUE
)List of vectors containing all coalitions that respects the causal ordering.
List.
Not applicable for (regular) non-causal or asymmetric explanations.
causal_ordering is an unnamed list of vectors specifying the components of the
partial causal ordering that the coalitions must respect. Each vector represents
a component and contains one or more features/groups identified by their names
(strings) or indices (integers). If causal_ordering is NULL (default), no causal
ordering is assumed and all possible coalitions are allowed. No causal ordering is
equivalent to a causal ordering with a single component that includes all features
(list(1:n_features)) or groups (list(1:n_groups)) for feature-wise and group-wise
Shapley values, respectively. For feature-wise Shapley values and
causal_ordering = list(c(1, 2), c(3, 4)), the interpretation is that features 1 and 2
are the ancestors of features 3 and 4, while features 3 and 4 are on the same level.
Note: All features/groups must be included in the causal_ordering without any duplicates.
Boolean. If TRUE, then the feature indices in the
coalitions are sorted in increasing order. If FALSE, then the function maintains the
order of features within each group given in causal_ordering.
Lars Henry Berge Olsen