Description Usage Arguments References
View source: R/shapleyImportance.R
Computes the shapley importance of a feature.
1 2 3 4 5 6 7 8 9 10 11 12 13 | shapleyImportance(
object,
data,
features,
target = NULL,
local = FALSE,
bound.size = NULL,
n.feat.perm = 50,
n.shapley.perm = 120,
measures,
predict.fun = NULL,
value.function = calculateValueFunctionImportance
)
|
object |
[any] |
data |
[ |
features |
[ |
target |
[ |
local |
[ |
bound.size |
[ |
n.feat.perm |
[ |
n.shapley.perm |
[ |
measures |
[ |
predict.fun |
[ |
value.function |
[ |
Cohen, S., Dror, G., & Ruppin, E. (2007). Feature selection via coalitional game theory. Neural Computation, 19(7), 1939-1961.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.