Function reference • colino

All functions

colino: colino: A collection of steps for feature selection to use with the 'recipes' package

cutoff(): Parameter functions for feature selection recipes

entropy(): Parameter functions for feature selection recipes

pull_importances(): Pull feature importances from a parsnip fitted model

step_select_aov() tidy(<step_select_aov>): Filter Categorical Predictors using the ANOVA F-Test

step_select_boruta() tidy(<step_select_boruta>): Feature selection step using Boruta

step_select_carscore() tidy(<step_select_carscore>): Feature selection step using the CAR score algorithm

step_select_fcbf(): Fast Correlation Based Filter for Feature Selection

step_select_forests() tidy(<step_select_forests>): Feature selection step using a random forest feature importance scores

step_select_infgain() tidy(<step_select_infgain>): Information gain feature selection step

step_select_linear() tidy(<step_select_linear>): Feature selection step using the magnitude of a linear models' coefficients

step_select_mrmr() tidy(<step_select_mrmr>): Apply minimum Redundancy Maximum Relevance Feature Selection (mRMR)

step_select_relief() tidy(<step_select_relief>): Feature selection step using the Relief algorithm

step_select_roc() tidy(<step_select_roc>): Filter Numeric Predictors using ROC Curve

step_select_tree() tidy(<step_select_tree>): Feature selection step using a decision tree importance scores

step_select_vip() tidy(<step_select_vip>): Feature selection step using a model's feature importance scores or coefficients

step_select_xtab() tidy(<step_select_xtab>): Filter Categorical Predictors using Contingency Tables

top_p(): Parameter functions for feature selection recipes