convert_feature_name_to_idx: Convert feature names into feature indices
In shapr: Prediction Explanation with Dependence-Aware Shapley Values

convert_feature_name_to_idx

R Documentation

Convert feature names into feature indices

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)

`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.
`labels`	Vector of strings containing (the order of) the feature names.
`feat_group_txt`	String that is either "feature" or "group" based on if `shapr` is computing feature- or group-wise Shapley values