mlr3learners: Recommended Learners for 'mlr3'

'Apology'用'My apologies for the delay'致歉 #生活技巧# #职场沟通技巧# #商务英语口语#

Links tomlr-org

Marc Becker

Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.

Authors:Michel Lang [aut], Quay Au [aut], Stefan Coors [aut], Patrick Schratz [aut], Marc Becker [cre, aut], John Zobolas [aut]

mlr3learners_0.12.0.tar.gz
mlr3learners_0.12.0.zip(r-4.6)mlr3learners_0.12.0.zip(r-4.5)mlr3learners_0.12.0.zip(r-4.4)
mlr3learners_0.12.0.tgz(r-4.5-any)mlr3learners_0.12.0.tgz(r-4.4-any)
mlr3learners_0.12.0.tar.gz(r-4.6-any)mlr3learners_0.12.0.tar.gz(r-4.5-any)
mlr3learners_0.12.0.tgz(r-4.5-emscripten)mlr3learners_0.12.0.tgz(r-4.4-emscripten)
mlr3learners.pdf |mlr3learners.html✨
mlr3learners/json (API)
NEWS

# Install 'mlr3learners' in R:install.packages('mlr3learners', repos = c('https://mlr-org.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mlr-org/mlr3learners/issues

Pkgdown site:https://mlr3learners.mlr-org.com

On CRAN:

Conda:

classificationlearnersmachine-learningmlr3regression

12.18 score 95 stars 10 packages 1.9k scripts 21k downloads 1 mentions 21 exports 23 dependencies

Last updated 3 months ago from:339cda2853 (on v0.12.0). Checks:10 OK. Indexed: yes.

TargetResultTotal timeArtifactlinux-devel-x86_64OK173source / vignettesOK194linux-release-x86_64OK180macos-release-arm64OK125macos-oldrel-arm64OK105windows-develOK145windows-releaseOK151windows-oldrelOK154wasm-releaseOK110wasm-oldrelOK132

Exports:LearnerClassifCVGlmnetLearnerClassifGlmnetLearnerClassifKKNNLearnerClassifLDALearnerClassifLogRegLearnerClassifMultinomLearnerClassifNaiveBayesLearnerClassifNnetLearnerClassifQDALearnerClassifRangerLearnerClassifSVMLearnerClassifXgboostLearnerRegrCVGlmnetLearnerRegrGlmnetLearnerRegrKKNNLearnerRegrKMLearnerRegrLMLearnerRegrNnetLearnerRegrRangerLearnerRegrSVMLearnerRegrXgboost

Dependencies:backportscheckmateclicodetoolsdata.tabledigestevaluatefuturefuture.applyglobalslgrlistenvmlbenchmlr3mlr3measuresmlr3miscpalmerpenguinsparadoxparallellyPRROCR6rlanguuid

Readme and manualsHelp ManualHelp pageTopicsmlr3learners: Recommended Learners for 'mlr3'mlr3learners-package mlr3learnersGLM with Elastic Net Regularization Classification LearnerLearnerClassifCVGlmnet mlr_learners_classif.cv_glmnetGLM with Elastic Net Regularization Classification LearnerLearnerClassifGlmnet mlr_learners_classif.glmnetk-Nearest-Neighbor Classification LearnerLearnerClassifKKNN mlr_learners_classif.kknnLinear Discriminant Analysis Classification LearnerLearnerClassifLDA mlr_learners_classif.ldaLogistic Regression Classification LearnerLearnerClassifLogReg mlr_learners_classif.log_regMultinomial log-linear learner via neural networksLearnerClassifMultinom mlr_learners_classif.multinomNaive Bayes Classification LearnerLearnerClassifNaiveBayes mlr_learners_classif.naive_bayesClassification Neural Network LearnerLearnerClassifNnet mlr_learners_classif.nnetQuadratic Discriminant Analysis Classification LearnerLearnerClassifQDA mlr_learners_classif.qdaRanger Classification LearnerLearnerClassifRanger mlr_learners_classif.rangerSupport Vector MachineLearnerClassifSVM mlr_learners_classif.svmExtreme Gradient Boosting Classification LearnerLearnerClassifXgboost mlr_learners_classif.xgboostGLM with Elastic Net Regularization Regression LearnerLearnerRegrCVGlmnet mlr_learners_regr.cv_glmnetGLM with Elastic Net Regularization Regression LearnerLearnerRegrGlmnet mlr_learners_regr.glmnetk-Nearest-Neighbor Regression LearnerLearnerRegrKKNN mlr_learners_regr.kknnKriging Regression LearnerLearnerRegrKM mlr_learners_regr.kmLinear Model Regression LearnerLearnerRegrLM mlr_learners_regr.lmNeural Network Regression LearnerLearnerRegrNnet mlr_learners_regr.nnetRanger Regression LearnerLearnerRegrRanger mlr_learners_regr.rangerSupport Vector MachineLearnerRegrSVM mlr_learners_regr.svmExtreme Gradient Boosting Regression LearnerLearnerRegrXgboost mlr_learners_regr.xgboost

网址：mlr3learners: Recommended Learners for 'mlr3' https://klqsh.com/news/view/178927

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