Pred.Type: The description of the field 'Pred.Type' in IPPModel class
In XZPackage/IPPModel: Impact pattern plots and feature interaction networks
Description
Pred.Type is the type of prediction. The IPP model only supports interpreting the models with numeircal outputs, so Pred.Type is used to assure that the output is numeric, not class. The value of Pred.Type depends on what package is used. For example, if "nnet" is used to create Pred.Fun, Pred.Type should be "raw" for both classification and regression. If "randomForest" or "kernlab" is used, Pred.Type should be "prob" for classification, or be "response" for regression. If other package is used, you should reference the predict function of that package.
See Also
IPPModel
XZPackage/IPPModel documentation built on May 17, 2019, 6:36 p.m.
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Description
Pred.Type is the type of prediction. The IPP model only supports interpreting the models with numeircal outputs, so Pred.Type is used to assure that the output is numeric, not class. The value of Pred.Type depends on what package is used. For example, if "nnet" is used to create Pred.Fun, Pred.Type should be "raw" for both classification and regression. If "randomForest" or "kernlab" is used, Pred.Type should be "prob" for classification, or be "response" for regression. If other package is used, you should reference the predict function of that package.
See Also
IPPModel
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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