extract_inner_fselect_archives: Extract Inner Feature Selection Archives

extract_inner_fselect_archivesR Documentation

Extract Inner Feature Selection Archives

Description

Extract inner feature selection archives of nested resampling. Implemented for mlr3::ResampleResult and mlr3::BenchmarkResult. The function iterates over the AutoFSelector objects and binds the archives to a data.table::data.table(). AutoFSelector must be initialized with store_fselect_instance = TRUE and resample() or benchmark() must be called with store_models = TRUE.

Usage

extract_inner_fselect_archives(x, exclude_columns = "uhash")

Arguments

x

(mlr3::ResampleResult | mlr3::BenchmarkResult).

exclude_columns

(character())
Exclude columns from result table. Set to NULL if no column should be excluded.

Value

data.table::data.table().

Data structure

The returned data table has the following columns:

  • experiment (integer(1))
    Index, giving the according row number in the original benchmark grid.

  • iteration (integer(1))
    Iteration of the outer resampling.

  • One column for each feature of the task.

  • One column for each performance measure.

  • runtime_learners (numeric(1))
    Sum of training and predict times logged in learners per mlr3::ResampleResult / evaluation. This does not include potential overhead time.

  • timestamp (POSIXct)
    Time stamp when the evaluation was logged into the archive.

  • batch_nr (integer(1))
    Feature sets are evaluated in batches. Each batch has a unique batch number.

  • resample_result (mlr3::ResampleResult)
    Resample result of the inner resampling.

  • task_id (character(1)).

  • learner_id (character(1)).

  • resampling_id (character(1)).

Examples

# Nested Resampling on Palmer Penguins Data Set

# create auto fselector
at = auto_fselector(
  fselector = fs("random_search"),
  learner = lrn("classif.rpart"),
  resampling = rsmp ("holdout"),
  measure = msr("classif.ce"),
  term_evals = 4)

resampling_outer = rsmp("cv", folds = 2)
rr = resample(tsk("penguins"), at, resampling_outer, store_models = TRUE)

# extract inner archives
extract_inner_fselect_archives(rr)

mlr3fselect documentation built on Oct. 30, 2024, 9:19 a.m.