DALEX auxiliary function for creating Partial Dependency Plots and study variable's responses vs independent vector.
Arguments
- explainer
Object. Result from
h2o_explainer
function.- vars
Character vector. Which features do you wish to study?
- force_class
Character. If you wish to force a class on your vars, which one do you need?
- seed
Numeric. Seed for reproducibility
- ...
Additional parameters passed to
model_profile
.
See also
Other Interpretability:
dalex_local()
,
dalex_residuals()
,
h2o_explainer()
Examples
# You must have "DALEX" library to use this auxiliary function:
if (FALSE) {
# Having an "explainer" object created with \code{h2o_explainer}:
# For numerical variables
dalex_variable(explainer, vars = c("Age", "Fare"))
# For categorical variables
dalex_variable(explainer, vars = c("Pclass", "Sex"))
}