RFTrainTurbineModel: Train a random forest model
In AndyClifton/PowerPerformance: Package to analyze wind resource and wind turbine data (developer test version)
Description
Usage
Arguments
Value
See Also
Description
RFTrainTurbineModel trains a random forest model. Althrough the
package assumes that the model will be power versus some forcing conditions,
the function can be use to train a model with any combination of predictor
and response data.
Usage
1
RFTrainTurbineModel(predictors, response, ntree = 1001, ...)
Arguments
predictors
a data.frame of predictive (forcing) values
response
a vector of response data
ntree
the number of trees to try out (default = 100)
Value
model.RF the resulting model
See Also
Other Random forest methods: RFCheckVarImp;
RFChecknTrees;
RFQueryTurbineModel;
RFTrainTestTurbineModel
AndyClifton/PowerPerformance documentation built on May 5, 2019, 6 a.m.
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Description Usage Arguments Value See Also
Description
RFTrainTurbineModel trains a random forest model. Althrough the
package assumes that the model will be power versus some forcing conditions,
the function can be use to train a model with any combination of predictor
and response data.
Usage
1 | RFTrainTurbineModel(predictors, response, ntree = 1001, ...)
|
Arguments
predictors |
a data.frame of predictive (forcing) values |
response |
a vector of response data |
ntree |
the number of trees to try out (default = 100) |
Value
model.RF the resulting model
See Also
Other Random forest methods: RFCheckVarImp;
RFChecknTrees;
RFQueryTurbineModel;
RFTrainTestTurbineModel
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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