List Available Feature Selection and Classification Approaches

Prints a list of keywords to use with crossValidate

Usage

available(what = c("classifier", "selectionMethod", "multiViewMethod"))

Arguments

what

Default: "classifier". Either "classifier", "selectionMethod" or "multiViewMethod".

Author

Dario Strbenac

Examples

 available()
#>      classifier Keyword                                           Description
#> 1          randomForest                                        Random forest.
#> 2                  DLDA                Diagonal Linear Discriminant Analysis.
#> 3                   kNN                                 k Nearest Neighbours.
#> 4                   GLM                                  Logistic regression.
#> 5              ridgeGLM         Ridge GLM multinomial regression (alpha = 0).
#> 6         elasticNetGLM Elastic net GLM multinomial regression (alpha = 0.5).
#> 7              LASSOGLM         LASSO GLM multinomial regression (alpha = 1).
#> 8                   SVM                               Support Vector Machine.
#> 9                   NSC                           Nearest Shrunken Centroids.
#> 10           naiveBayes         Naive Bayes kernel feature voting classifier.
#> 11      mixturesNormals         Mixture of normals feature voting classifier.
#> 12                CoxPH                             Cox proportional hazards.
#> 13               CoxNet                   Penalised Cox proportional hazards.
#> 14 randomSurvivalForest                               Random survival forest.
#> 15                  XGB                             Extreme gradient booster.