RFCheckVarImp: Check the importance of the variables used in the Random...
In AndyClifton/PowerPerformance: Package to analyze wind resource and wind turbine data (developer test version)
Description
Usage
Arguments
See Also
Description
RFCheckVarImp shows the importance of the different variables that
were input to the random forest model.
Usage
1
RFCheckVarImp(model.RF)
Arguments
model.RF
the trained random forest model
See Also
Other Random forest methods: RFChecknTrees;
RFQueryTurbineModel;
RFTrainTestTurbineModel;
RFTrainTurbineModel
AndyClifton/PowerPerformance documentation built on May 5, 2019, 6 a.m.
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Description Usage Arguments See Also
Description
RFCheckVarImp shows the importance of the different variables that
were input to the random forest model.
Usage
1 | RFCheckVarImp(model.RF)
|
Arguments
model.RF |
the trained random forest model |
See Also
Other Random forest methods: RFChecknTrees;
RFQueryTurbineModel;
RFTrainTestTurbineModel;
RFTrainTurbineModel
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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