mlr3tuning

Description

Hyperparameter optimization package of the 'mlr3' ecosystem. It features highly configurable search spaces via the 'paradox' package and finds optimal hyperparameter configurations for any 'mlr3' learner. 'mlr3tuning' works with several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). Moreover, it can automatically optimize learners and estimate the performance of optimized models with nested resampling.

Downloads

CRAN Check Status

Check History

Running ‘testthat.R’ [335s/415s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > if (requireNamespace("testthat", quietly = TRUE)) {
  +   library("testthat")
  +   library("checkmate")
  +   library("mlr3tuning")
  +   test_chec
...[truncated]...
")
  
  [ FAIL 1 | WARN 3 | SKIP 24 | PASS 1762 ]
  Error:
  ! Test failures.
  Warning message:
  In dir.create(path, recursive = TRUE) :
    cannot create dir '/tmp/Rtmp9pMJkj/file18912a7c078b87', reason 'No space left on device'
  Execution halted

Reverse Dependencies (18)

Dependency Network