This function is mostly for internal usage. To calculate feature importance use getFeatureImportance.
The return value is a named numeric vector. There does not need to be one value for each feature in the dataset.
In getFeatureImportance missing features will get an importance of zero and if the vector contains
they will also be replaced with zero.
# S3 method for regr.randomForestSRC getFeatureImportanceLearner(.learner, .model, ...) getFeatureImportanceLearner(.learner, .model, ...)
(numeric) A named vector of variable importance.