pdNCV: Partial-depedence plots using repeated nested CV objects...
In kforthman/caretStack: Stacks models from the caret package to create a more robust prediction
Description
Partial-depedence plots using repeated nested CV objects
Current PDP only allows stacking by weighted average.
In classification, stacking by other learner uses different "predictor names".
Usage
1
pdNCV(sel.var, resp.var, nRep, nFolds, dir.path, file.root, rncv.obj, stack.wt)
kforthman/caretStack documentation built on June 21, 2021, 8:38 a.m.
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.
Description
Partial-depedence plots using repeated nested CV objects Current PDP only allows stacking by weighted average. In classification, stacking by other learner uses different "predictor names".
Usage
1 | pdNCV(sel.var, resp.var, nRep, nFolds, dir.path, file.root, rncv.obj, stack.wt)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.