View source: R/plot_model_profile.R
| plot.model_profile | R Documentation | 
Plot Dataset Level Model Profile Explanations
## S3 method for class 'model_profile'
plot(x, ..., geom = "aggregates")
| x | a variable profile explanation, created with the  | 
| ... | other parameters | 
| geom | either  | 
An object of the class ggplot.
color –  a character. Either name of a color, or hex code for a color,
or _label_ if models shall be colored, or _ids_ if instances shall be colored
size –  a numeric. Size of lines to be plotted
alpha –  a numeric between 0 and 1. Opacity of lines
facet_ncol –  number of columns for the facet_wrap
variables –  if not NULL then only variables will be presented
title –  a character. Partial and accumulated dependence explainers have deafult value.
subtitle –  a character. If NULL value will be dependent on model usage.
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)
 
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")
 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.