plotD3 | R Documentation |
Function plotD3.ceteris_paribus_explainer
plots Individual Variable Profiles for selected observations.
It uses output from ceteris_paribus
function.
Various parameters help to decide what should be plotted, profiles, aggregated profiles, points or rugs.
Find more details in Ceteris Paribus Chapter.
plotD3(x, ...) ## S3 method for class 'ceteris_paribus_explainer' plotD3( x, ..., size = 2, alpha = 1, color = "#46bac2", variable_type = "numerical", facet_ncol = 2, scale_plot = FALSE, variables = NULL, chart_title = "Ceteris Paribus Profiles", label_margin = 60, show_observations = TRUE, show_rugs = TRUE )
x |
a ceteris paribus explainer produced with function |
... |
other explainers that shall be plotted together |
size |
a numeric. Set width of lines |
alpha |
a numeric between |
color |
a character. Set line color |
variable_type |
a character. If "numerical" then only numerical variables will be plotted. If "categorical" then only categorical variables will be plotted. |
facet_ncol |
number of columns for the |
scale_plot |
a logical. If |
variables |
if not |
chart_title |
a character. Set custom title |
label_margin |
a numeric. Set width of label margins in |
show_observations |
a logical. Adds observations layer to a plot. By default it's |
show_rugs |
a logical. Adds rugs layer to a plot. By default it's |
a r2d3
object.
Explanatory Model Analysis. Explore, Explain, and Examine Predictive Models. https://ema.drwhy.ai/
library("DALEX") library("ingredients") library("ranger") model_titanic_rf <- ranger(survived ~., data = titanic_imputed, probability = TRUE) explain_titanic_rf <- explain(model_titanic_rf, data = titanic_imputed[,-8], y = titanic_imputed[,8], label = "ranger forest", verbose = FALSE) selected_passangers <- select_sample(titanic_imputed, n = 10) cp_rf <- ceteris_paribus(explain_titanic_rf, selected_passangers) plotD3(cp_rf, variables = c("age","parch","fare","sibsp"), facet_ncol = 2, scale_plot = TRUE) selected_passanger <- select_sample(titanic_imputed, n = 1) cp_rf <- ceteris_paribus(explain_titanic_rf, selected_passanger) plotD3(cp_rf, variables = c("class", "embarked", "gender", "sibsp"), facet_ncol = 2, variable_type = "categorical", label_margin = 100, scale_plot = TRUE)
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