safely_transform_continuous {rSAFE}

Calculating a Transformation of a Continuous Feature Using PDP/ALE Plot

Description

The safely_transform_continuous() function calculates a transformation function for the continuous variable using a PD/ALE plot obtained from black box model.

Usage

safely_transform_continuous(
  explainer,
  variable,
  response_type = "ale",
  grid_points = 50,
  N = 200,
  penalty = "MBIC",
  nquantiles = 10,
  no_segments = 2
)

Arguments

explainer

DALEX explainer created with explain() function

variable

a feature for which the transformation function is to be computed

response_type

character, type of response to be calculated, one of: "pdp", "ale". If features are uncorrelated, one can use "pdp" type - otherwise "ale" is strongly recommended.

grid_points

number of points on x-axis used for creating the PD/ALE plot, default 50

N

number of observations from the dataset used for creating the PD/ALE plot, default 200

penalty

penalty for introducing another changepoint, one of "AIC", "BIC", "SIC", "MBIC", "Hannan-Quinn" or numeric non-negative value

nquantiles

the number of quantiles used in integral approximation

no_segments

numeric, a number of segments variable is to be divided into in case of founding no breakpoints

Value

list of information on the transformation of given variable

See Also

safe_extraction, safely_detect_changepoints

Examples

library(DALEX)
library(randomForest)
library(rSAFE)

data <- apartments[1:500,]
set.seed(111)
model_rf <- randomForest(m2.price ~ construction.year + surface + floor +
                           no.rooms + district, data = data)
explainer_rf <- explain(model_rf, data = data[,2:6], y = data[,1])
safely_transform_continuous(explainer_rf, "construction.year")