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")
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