NEWS.md

In mlr3tuningspaces: Search Spaces for 'mlr3'

mlr3tuningspaces 0.4.0

• fix: The source of the rbv2 search spaces was wrong. The source is Binder, Pfisterer, and Bischl (2020). Thanks to @markus-schaffer.
• feat: Add rbv1 search spaces from the Kühn (2018) paper.

mlr3tuningspaces 0.3.5

• fix: Add missing ... parameter to rd_info.TuningSpace().

mlr3tuningspaces 0.3.4

• docs: Remove deprecated method argument of mlr3tuning::tune().
• docs: Update resources.

mlr3tuningspaces 0.3.3

• fix: Extra paradox::TuneToken in lts() were not passed to learners created with $get_learner().
• docs: Add lts() return.

mlr3tuningspaces 0.3.2

• docs: Add mlr_tuning_spaces prefix to aliases.

mlr3tuningspaces 0.3.1

• docs: Add glmnet description.

mlr3tuningspaces 0.3.0

• feat: Pass paradox::TuneToken to lts() to add, remove or overwrite parameters in tuning spaces and learners.
• fix: Remove debugging from lts().

mlr3tuningspaces 0.2.0

• feat: Add a as.data.table.TuningSpace() function.
• feat: TuningSpace objects have the optional field $label now.
• feat: New $help() method which opens the manual page of a TuningSpace.
• feat: Add search space for glmnet and kknn to default collection.
• feat: New as_search_space() function to create search spaces from TuningSpace objects.

mlr3tuningspaces 0.1.1

• fix: The subsample hyperparameter is tuned on a logarithmic scale now. The lower bound of alpha is reduced from 1e-4 to 1e-3. The tuning range of the lambda hyperparameter was 0.1 to 1. From now on, lambda is tuned from 1e-3 to 1e3 on a logarithmic scale.

mlr3tuningspaces 0.1.0

• refactor: update citations.
• feat: Add mtry.ratio hyperparameter to tuning spaces of the ranger learner.
• feat: Add $print() method to TuningSpace objects.

mlr3tuningspaces 0.0.1

• First release of the tuning spaces package.

mlr3tuningspaces documentation built on April 20, 2023, 5:07 p.m.