Compute the strength of two-way interaction effects. For details, see the reference below.
vint(object, feature_names, progress = "none", parallel = FALSE,
paropts = NULL, ...)
A fitted model object (e.g., a "randomForest"
object).
Character string giving the names of the two features of interest.
Character string giving the name of the progress bar to use
while constructing the interaction statistics. See
create_progress_bar
for details. Default is
"none"
.
Logical indicating whether or not to run partial
in
parallel using a backend provided by the foreach
package. Default is
FALSE
.
List containing additional options to be passed onto
foreach
when parallel = TRUE
.
Additional optional arguments to be passed onto
partial
.
Coming soon!
Greenwell, B. M., Boehmke, B. C., and McCarthy, A. J.: A Simple and Effective Model-Based Variable Importance Measure. arXiv preprint arXiv:1805.04755 (2018).