saveRF: Saves/loads random forests model to/from file

Description

saveRF: the internal structure of given random forests model is saved to file. loadRF: the internal structure of random forests model is loaded from given file and a model is created and returned.

Usage

saveRF(model, fileName) 
loadRF(formula, data, fileName)

Arguments

model

The model structure as returned by CoreModel.

fileName

Name of the file to save/load the model to/from.

formula

Formula shell match the model loaded from file.

data

Data shell match the formula and the model loaded from file.

Value

saveRF does not return any value, while loadRF returns a loaded model as a list, similarly to CoreModel.

Details

The function saveRF saves the internal structure of given random forests model to specified file. The model must be a valid structure returned by CoreModel. The function loadRF loads the internal structure of random forests saved in a specified file and returns access to it in the model. The parameters formula and data have to match the loaded model, and are needed for subsequent predictions with the loaded model.

Examples

Run this code

# use iris data set

# build random forests model with certain parameters
modelRF <- CoreModel(Species ~ ., iris, model="rf", 
              selectionEstimator="MDL",minNodeWeight=5,rfNoTrees=100)
print(modelRF)

# prediction with node distribution
pred <- predict.CoreModel(modelRF, iris, rfPredictClass=FALSE, type="both")
print(pred)


# saves the random forests model to file
saveRF(modelRF, "tempRF.txt")

# restore the model to another model
loadedRF = loadRF(Species ~ ., iris, "tempRF.txt")

# prediction should be the same
predLoaded <- predict.CoreModel(loadedRF, iris, rfPredictClass=FALSE, type="both")
print(predLoaded)