extract_fs_vimp: Internal function to extract feature selection variable...

In familiar: End-to-End Automated Machine Learning and Model Evaluation

Internal function to extract feature selection variable importance.

Description

Aggregate variable importance obtained during feature selection. This information can only be obtained as part of the main summon_familiar process.

Usage

extract_fs_vimp(
  object,
  aggregation_method = waiver(),
  rank_threshold = waiver(),
  message_indent = 0L,
  verbose = FALSE,
  ...
)

Arguments

object	A familiarEnsemble object, which is an ensemble of one or more familiarModel objects.
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 vimp_aggregation_method argument in summon_familiar for information concerning the different available methods. If not provided explicitly, this parameter is read from settings used at creation of the underlying familiarModel objects.
rank_threshold	The threshold used to define the subset of highly important features during evaluation. See the documentation for the vimp_aggregation_rank_threshold argument in summon_familiar for more information. If not provided explicitly, this parameter is read from settings used at creation of the underlying familiarModel objects.
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 feature selection variable importance information.

familiar documentation built on Sept. 30, 2024, 9:18 a.m.