extract_model_vimp {familiar} | R Documentation |
Internal function to extract variable importance from models.
Description
Aggregate variable importance from models in a
familiarEnsemble
.
Usage
extract_model_vimp(
object,
data,
aggregation_method = waiver(),
rank_threshold = waiver(),
message_indent = 0L,
verbose = FALSE,
...
)
Arguments
object |
A |
data |
A |
aggregation_method |
Method for aggregating variable importances for the purpose of evaluation. Variable importances are determined during feature selection steps and after training the model. Both types are evaluated, but feature selection variable importance is only evaluated at run-time. See the documentation for the If not provided explicitly, this parameter is read from settings used at
creation of the underlying |
rank_threshold |
The threshold used to define the subset of highly important features during evaluation. See the documentation for the If not provided explicitly, this parameter is read from settings used at
creation of the underlying |
message_indent |
Number of indentation steps for messages shown during computation and extraction of various data elements. |
verbose |
Flag to indicate whether feedback should be provided on the computation and extraction of various data elements. |
... |
Unused arguments. |
Value
A list containing variable importance information.