This method retrieves and parses variable importance tables from
their respective vimpTable objects.
get_vimp_table(x, state = "ranked", ...)# S4 method for list
get_vimp_table(x, state = "ranked", ...)
# S4 method for character
get_vimp_table(x, state = "ranked", ...)
# S4 method for vimpTable
get_vimp_table(x, state = "ranked", ...)
# S4 method for NULL
get_vimp_table(x, state = "ranked", ...)
# S4 method for experimentData
get_vimp_table(x, state = "ranked", ...)
# S4 method for familiarModel
get_vimp_table(x, state = "ranked", data = NULL, as_object = FALSE, ...)
A data.table with variable importance scores and, with
state="ranked", the respective ranks.
Variable importance (vimpTable) object, a list thereof, or one or
more paths to these objects. This method extracts the variable importance
table from such objects.
State of the returned variable importance table. This affects what contents are shown, and in which format. The variable importance table can be returned with the following states:
initial: initial state, directly after the variable importance table is
filled. The returned variable importance table shows the raw, un-processed
data.
decoded: depending on the variable importance method, the initial
variable importance table may contain the scores of individual contrasts
for categorical variables. When decoded, scores from all contrasts are
aggregated to a single score for each feature.
declustered: variable importance is determined from fully processed
features, which includes clustering. This means that a single feature in
the variable importance table may represent multiple original features.
When a variable importance table has been declustered, all clusters have
been turned into their constituent features.
ranked (default): The scores have been used to create ranks, with lower
ranks indicating better features.
Internally, the variable importance table will go through each state, i.e. an variable importance table in the initial state will be decoded, declustered and then ranked prior to returning the variable importance table.
Unused arguments.
Internally used argument for use with familiarModel objects.
Internally used argument for use with familiarModel
objects.