# mlr3learners

Package website: [release](https://mlr3learners.mlr-org.com/) \|
[dev](https://mlr3learners.mlr-org.com/dev/)

This package provides essential learners for
[mlr3](https://mlr3.mlr-org.com), maintained by the mlr-org team.
Additional learners can be found in the
[mlr3extralearners](https://github.com/mlr-org/mlr3extralearners)
package on GitHub. Request additional learners over there.

👉 [Table of all learners](https://mlr-org.com/learners.html)

## Installation

``` r

# CRAN version:
install.packages("mlr3learners")

# Development version:
pak::pak("mlr-org/mlr3learners")
```

If you also want to install all packages of the connected learners, set
`dependencies = TRUE`:

``` r

# CRAN version:
install.packages("mlr3learners", dependencies = TRUE)

# Development version:
pak::pak("mlr-org/mlr3learners", dependencies = TRUE)
```

## Classification Learners

| ID | Learner | Package |
|:---|:---|:---|
| [classif.cv_glmnet](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.cv_glmnet.html) | Penalized Logistic Regression | [glmnet](https://cran.r-project.org/package=glmnet) |
| [classif.glmnet](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.glmnet.html) | Penalized Logistic Regression | [glmnet](https://cran.r-project.org/package=glmnet) |
| [classif.kknn](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.kknn.html) | k-Nearest Neighbors | [kknn](https://cran.r-project.org/package=kknn) |
| [classif.lda](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.lda.html) | LDA | [MASS](https://cran.r-project.org/package=MASS) |
| [classif.log_reg](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.log_reg.html) | Logistic Regression | stats |
| [classif.multinom](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.multinom.html) | Multinomial log-linear model | [nnet](https://cran.r-project.org/package=nnet) |
| [classif.naive_bayes](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.naive_bayes.html) | Naive Bayes | [e1071](https://cran.r-project.org/package=e1071) |
| [classif.nnet](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.nnet.html) | Single Layer Neural Network | [nnet](https://cran.r-project.org/package=nnet) |
| [classif.qda](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.qda.html) | QDA | [MASS](https://cran.r-project.org/package=MASS) |
| [classif.ranger](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.ranger.html) | Random Forest | [ranger](https://cran.r-project.org/package=ranger) |
| [classif.svm](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.svm.html) | SVM | [e1071](https://cran.r-project.org/package=e1071) |
| [classif.xgboost](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.xgboost.html) | Gradient Boosting | [xgboost](https://cran.r-project.org/package=xgboost) |

## Regression Learners

| ID | Learner | Package |
|:---|:---|:---|
| [regr.cv_glmnet](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.cv_glmnet.html) | Penalized Linear Regression | [glmnet](https://cran.r-project.org/package=glmnet) |
| [regr.glmnet](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.glmnet.html) | Penalized Linear Regression | [glmnet](https://cran.r-project.org/package=glmnet) |
| [regr.kknn](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.kknn.html) | k-Nearest Neighbors | [kknn](https://cran.r-project.org/package=kknn) |
| [regr.km](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.km.html) | Kriging | [DiceKriging](https://cran.r-project.org/package=DiceKriging) |
| [regr.lm](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.lm.html) | Linear Regression | stats |
| [regr.nnet](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.nnet.html) | Single Layer Neural Network | nnet |
| [regr.ranger](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.ranger.html) | Random Forest | [ranger](https://cran.r-project.org/package=ranger) |
| [regr.svm](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.svm.html) | SVM | [e1071](https://cran.r-project.org/package=e1071) |
| [regr.xgboost](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.xgboost.html) | Gradient Boosting | [xgboost](https://cran.r-project.org/package=xgboost) |

# Package index

## Classification Learners

- [`mlr_learners_classif.cv_glmnet`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.cv_glmnet.md)
  [`LearnerClassifCVGlmnet`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.cv_glmnet.md)
  : GLM with Elastic Net Regularization Classification Learner
- [`mlr_learners_classif.glmnet`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.glmnet.md)
  [`LearnerClassifGlmnet`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.glmnet.md)
  : GLM with Elastic Net Regularization Classification Learner
- [`mlr_learners_classif.kknn`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.kknn.md)
  [`LearnerClassifKKNN`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.kknn.md)
  : k-Nearest-Neighbor Classification Learner
- [`mlr_learners_classif.lda`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.lda.md)
  [`LearnerClassifLDA`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.lda.md)
  : Linear Discriminant Analysis Classification Learner
- [`mlr_learners_classif.log_reg`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.log_reg.md)
  [`LearnerClassifLogReg`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.log_reg.md)
  : Logistic Regression Classification Learner
- [`mlr_learners_classif.multinom`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.multinom.md)
  [`LearnerClassifMultinom`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.multinom.md)
  : Multinomial log-linear learner via neural networks
- [`mlr_learners_classif.naive_bayes`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.naive_bayes.md)
  [`LearnerClassifNaiveBayes`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.naive_bayes.md)
  : Naive Bayes Classification Learner
- [`mlr_learners_classif.nnet`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.nnet.md)
  [`LearnerClassifNnet`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.nnet.md)
  : Classification Neural Network Learner
- [`mlr_learners_classif.qda`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.qda.md)
  [`LearnerClassifQDA`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.qda.md)
  : Quadratic Discriminant Analysis Classification Learner
- [`mlr_learners_classif.ranger`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.ranger.md)
  [`LearnerClassifRanger`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.ranger.md)
  : Ranger Classification Learner
- [`mlr_learners_classif.svm`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.svm.md)
  [`LearnerClassifSVM`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.svm.md)
  : Support Vector Machine
- [`mlr_learners_classif.xgboost`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.xgboost.md)
  [`LearnerClassifXgboost`](https://mlr3learners.mlr-org.com/reference/mlr_learners_classif.xgboost.md)
  : Extreme Gradient Boosting Classification Learner

## Regression Learners

- [`mlr_learners_regr.cv_glmnet`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.cv_glmnet.md)
  [`LearnerRegrCVGlmnet`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.cv_glmnet.md)
  : GLM with Elastic Net Regularization Regression Learner
- [`mlr_learners_regr.glmnet`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.glmnet.md)
  [`LearnerRegrGlmnet`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.glmnet.md)
  : GLM with Elastic Net Regularization Regression Learner
- [`mlr_learners_regr.kknn`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.kknn.md)
  [`LearnerRegrKKNN`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.kknn.md)
  : k-Nearest-Neighbor Regression Learner
- [`mlr_learners_regr.km`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.km.md)
  [`LearnerRegrKM`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.km.md)
  : Kriging Regression Learner
- [`mlr_learners_regr.lm`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.lm.md)
  [`LearnerRegrLM`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.lm.md)
  : Linear Model Regression Learner
- [`mlr_learners_regr.nnet`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.nnet.md)
  [`LearnerRegrNnet`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.nnet.md)
  : Neural Network Regression Learner
- [`mlr_learners_regr.ranger`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.ranger.md)
  [`LearnerRegrRanger`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.ranger.md)
  : Ranger Regression Learner
- [`mlr_learners_regr.svm`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.svm.md)
  [`LearnerRegrSVM`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.svm.md)
  : Support Vector Machine
- [`mlr_learners_regr.xgboost`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.xgboost.md)
  [`LearnerRegrXgboost`](https://mlr3learners.mlr-org.com/reference/mlr_learners_regr.xgboost.md)
  : Extreme Gradient Boosting Regression Learner

## Survival Learners

## General

- [`mlr3learners`](https://mlr3learners.mlr-org.com/reference/mlr3learners-package.md)
  [`mlr3learners-package`](https://mlr3learners.mlr-org.com/reference/mlr3learners-package.md)
  : mlr3learners: Recommended Learners for 'mlr3'