ada.pred: Internal Logic Forest Functions
In LogicForest: Logic Forest
Description
Details
Note
Author(s)
Description
This function is called by PlusMinus.PIimp. It is not intended to be used independently of this function.
Details
Determines the weighted prediction of trees in an LBoost model. Each prediction is weighted by the tree specific weight that is generated as the LBoost model is constructed. The predicted values are used to determine the add-in/leave-out measure of interaction importance.
Note
This function is supplementary and not intended to be used independently of the other functions.
Author(s)
Bethany Wolf wolfb@musc.edu
LogicForest documentation built on May 30, 2017, 3:07 a.m.
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Description Details Note Author(s)
Description
This function is called by PlusMinus.PIimp. It is not intended to be used independently of this function.
Details
Determines the weighted prediction of trees in an LBoost model. Each prediction is weighted by the tree specific weight that is generated as the LBoost model is constructed. The predicted values are used to determine the add-in/leave-out measure of interaction importance.
Note
This function is supplementary and not intended to be used independently of the other functions.
Author(s)
Bethany Wolf wolfb@musc.edu
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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