First, calls generateFilterValuesData.
Features are then selected via
filterFeatures(task, method = "randomForestSRC_importance", fval = NULL, perc = NULL, abs = NULL, threshold = NULL, mandatory.feat = NULL, cache = FALSE, ...)
cache = TRUE, the default mlr cache directory is used to cache
filter values. The directory is operating system dependent and can be
The default cache can be cleared with
Alternatively, a custom directory can be passed to store the cache.
Note that caching is not thread safe. It will work for parallel computation on many systems, but there is no guarantee.