ingredients (version 0.3.1)

calculate_variable_split: Internal Function for Split Points for Selected Variables

Description

This function calculate candidate splits for each selected variable. For numerical variables splits are calculated as percentiles (in general uniform quantiles of the length grid_points). For all other variables splits are calculated as unique values.

Usage

calculate_variable_split(data, variables = colnames(data),
  grid_points = 101)

Arguments

data

validation dataset. Is used to determine distribution of observations.

variables

names of variables for which splits shall be calculated

grid_points

number of points used for response path

Value

A named list with splits for selected variables

Details

Note that calculate_variable_split function is S3 generic. If you want to work on non standard data sources (like H2O ddf, external databases) you should overload it.

Examples

# NOT RUN {
library("DALEX")
 
# }
# NOT RUN {
library("randomForest")
set.seed(59)
apartments_rf_model <- randomForest(m2.price ~ construction.year + surface + floor +
                                      no.rooms + district, data = apartments)
vars <- c("construction.year", "surface", "floor", "no.rooms", "district")
calculate_variable_split(apartments, vars)
# }