Man pages for stevenpawley/recipesSelection
Extra Recipes Steps for Supervised Feature Selection
| pipe | Pipe operator |
| pull_importances | Pull feature importances from a parsnip fitted model |
| recipeselectors | recipeselectors: A collection of steps for feature selection... |
| step_select_boruta | Feature selection step using Boruta |
| step_select_carscore | Information gain feature selection step |
| step_select_forests | Feature selection step using a random forest feature... |
| step_select_infgain | Information gain feature selection step |
| step_select_linear | Feature selection step using the magnitude of a linear... |
| step_select_mrmr | Apply minimum Redundancy Maximum Relevance Feature Selection... |
| step_select_roc | Filter Numeric Predictors using ROC Curve |
| step_select_tree | Feature selection step using a decision tree importance... |
| step_select_vip | Feature selection step using a model's feature importance... |
| step_select_xtab | Filter Categorical Predictors using Contingency Tables |
| top_p | Parameter functions for feature selection recipes |
