dependence {MachineShop} | R Documentation |
Calculate partial dependence of a response on select predictor variables.
dependence( object, data = NULL, select = NULL, interaction = FALSE, n = 10, intervals = c("uniform", "quantile"), stats = MachineShop::settings("stats.PartialDependence") )
object |
model fit result. |
data |
data frame containing all predictor variables. If not specified, the training data will be used by default. |
select |
expression indicating predictor variables for which to compute
partial dependence (see |
interaction |
logical indicating whether to calculate dependence on the interacted predictors. |
n |
number of predictor values at which to perform calculations. |
intervals |
character string specifying whether the |
stats |
function, function name, or vector of these with which to compute response variable summary statistics over non-selected predictor variables. |
PartialDependence
class object that inherits from
data.frame
.
## Requires prior installation of suggested package gbm to run gbm_fit <- fit(Species ~ ., data = iris, model = GBMModel) (pd <- dependence(gbm_fit, select = c(Petal.Length, Petal.Width))) plot(pd)