4.0.0

caretEnsemble 4.0.0

• Multiclass support! caretList, caretStack, and caretEnsemble
• The greedy optimizer is back! caretEnsemble now uses a greedy optimizer by default. This optimizer can never be worse than the worst single model. caretStack still support all caret models, including glm.
• Refactored some internals for scalability (e.g. data.table for predictions, trim some un-needed data by default).
• Moved all the S3 methods to caretStack, which now supports print, summary, plot, dotplot, and autoplot. caretEnsemble inherits from caretStack, and therefore also supports all of these methods.
• Allow ensembling of mixed lists of classification and regression models.
• Allow ensemble of models with different resampling strategies, so long as they were trained on the same data.
• Allow transfer learning for ensembling models trained on different datasets.
• Added permutation importance as the default importance method for caretLists and caretStacks.
• Add a default trainControl constructor to make it easier to build good controls for training caretLists for stacking with caretStack.
• Expanded test coverage to 100%.
• Sped up test suite (unit tests now run in 20 seconds).
• Delinted codebase: now conforms with all available linters save the object name linter.
• Added a makefile for easier local package development.
• Fixed badges in the readme.
• Added a pkgdown site.
• Switched to github actions (from travis) for CI.
• Internal refactoring, optimization, and bug fixes.

Auto-generated changelog

• Add makefile, github actions, remove travis, and fix R CMD CHECK by @zachmayer in #263
• Badges by @zachmayer in #265
• Fixes for badges and yamls by @zachmayer in #269
• Delint and debug by @zachmayer in #273
• Try to get to 100% test coverage by @zachmayer in #275
• Make clean by @zachmayer in #278
• initial multiclass support by @zachmayer in #191
• Multiclass support for caretList and caretStack #260 by @zachmayer in #280
• More tests by @zachmayer in #283
• update badges by @zachmayer in #284
• Delint by @zachmayer in #285
• THE BIG REFACTOR by @zachmayer in #286
• Lint by @zachmayer in #287
• Reorg and smaller refactor by @zachmayer in #288
• Refactor Varimp by @zachmayer in #289
• Refactor and standardize predcitions by @zachmayer in #290
• Remove most warnings and simplify logic for making trainControls by @zachmayer in #291
• remove all skip on cran by @zachmayer in #292
• trim by @zachmayer in #293
• Test default trainControl in most tests for caretList by @zachmayer in #294
• remove some subsets from tests by @zachmayer in #295
• Imports by @zachmayer in #296
• Lint by @zachmayer in #297
• permutation importance by @zachmayer in #298
• Reorg S3 classes by @zachmayer in #299
• Use varImp to get weights for SE of predictions by @zachmayer in #300
• add build target by @zachmayer in #301
• Remove return_weights by @zachmayer in #302
• Refactor inner functions by @zachmayer in #303
• Add greedyOptimizer class by @zachmayer in #304
• caret::train support for greedyMSE by @zachmayer in #305
• Use greedyMSE for caretEnsemble by @zachmayer in #306
• Cleanup todos and spacing by @zachmayer in #307
• Test reorg by @zachmayer in #308
• Custom models test by @zachmayer in #310
• simplify caretModelSpec a little by @zachmayer in #316
• [312] Default train control by @zachmayer in #317
• 4.0.0 cran prep by @zachmayer in #319
• Update Description and add image alt text by @zachmayer in #322
• 4.0 release by @zachmayer in #323
• [324] Fix rev dep by @zachmayer in #325
• Final final cran check v2 final by @zachmayer in #326
• bump date and format news by @zachmayer in #328
• cran sub by @zachmayer in #332

Full Changelog: 2.0.3...4.0.0