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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