DALEX (version 1.2.1)

plot.model_profile: Plot Dataset Level Model Profile Explanations

Description

Plot Dataset Level Model Profile Explanations

Usage

# S3 method for model_profile
plot(x, ..., geom = "aggregates")

Arguments

x

a variable profile explanation, created with the model_profile function

...

other parameters

geom

either "aggregates", "profiles", "points" determines which will be plotted

Value

An object of the class ggplot.

Examples

# NOT RUN {
titanic_glm_model <- glm(survived~., data = titanic_imputed, family = "binomial")
explainer_glm <- explain(titanic_glm_model, data = titanic_imputed)
expl_glm <- model_profile(explainer_glm, "fare")
plot(expl_glm)

 
# }
# NOT RUN {
library("ranger")
titanic_ranger_model <- ranger(survived~., data = titanic_imputed, num.trees = 50,
                               probability = TRUE)
explainer_ranger  <- explain(titanic_ranger_model, data = titanic_imputed)
expl_ranger <- model_profile(explainer_ranger)
plot(expl_ranger)
plot(expl_ranger, geom = "aggregates")

vp_ra <- model_profile(explainer_ranger, type = "partial", variables = c("age", "fare"))
plot(vp_ra, variables = c("age", "fare"), geom = "points")

vp_ra <- model_profile(explainer_ranger, type = "partial", k = 3)
plot(vp_ra)
plot(vp_ra, geom = "profiles")
plot(vp_ra, geom = "points")

vp_ra <- model_profile(explainer_ranger, type = "partial", groups = "gender")
plot(vp_ra)
plot(vp_ra, geom = "profiles")
plot(vp_ra, geom = "points")

vp_ra <- model_profile(explainer_ranger, type = "accumulated")
plot(vp_ra)
plot(vp_ra, geom = "profiles")
plot(vp_ra, geom = "points")
 
# }
# NOT RUN {
# }