ingredients: calculate_variable_split – R documentation

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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,
  variable_splits_type = "quantiles",
  new_observation = NA
)

## Default S3 method:
calculate_variable_split(
  data,
  variables = colnames(data),
  grid_points = 101,
  variable_splits_type = "quantiles",
  new_observation = NA
)

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
`variable_splits_type`	how variable grids shall be calculated? Use "quantiles" (default) for percentiles or "uniform" to get uniform grid of points
`new_observation`	if specified (not `NA`) then all values in `new_observation` will be included in `variable_splits`

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.

Value

A named list with splits for selected variables

ingredients

Effects and Importances of Model Ingredients

v2.2.0

GPL-3

Authors

Przemyslaw Biecek [aut, cre] (<https://orcid.org/0000-0001-8423-1823>), Hubert Baniecki [aut] (<https://orcid.org/0000-0001-6661-5364>), Adam Izdebski [ctb]

Initial release