Functions that takes a causal_ordering specified using strings and convert these strings to feature indices.
convert_feature_name_to_idx(causal_ordering, labels, feat_group_txt)The causal_ordering list, but with feature indices (w.r.t. labels) instead of feature names.
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.
Vector of strings containing (the order of) the feature names.
String that is either "feature" or "group" based on
if shapr is computing feature- or group-wise Shapley values
Lars Henry Berge Olsen