private IRandomForestModel RecalculateModel()
{
IRandomForestModel randomForestModel = null;
double rmsError, oobRmsError, relClassError, oobRelClassError;
var classificationProblemData = originalTrainingData as IClassificationProblemData;
if (originalTrainingData is IRegressionProblemData regressionProblemData)
{
randomForestModel = RandomForestRegression.CreateRandomForestRegressionModel(regressionProblemData,
nTrees, r, m, seed, out rmsError, out oobRmsError,
out relClassError, out oobRelClassError);
}
else if (classificationProblemData != null)
{
randomForestModel = RandomForestClassification.CreateRandomForestClassificationModel(classificationProblemData,
nTrees, r, m, seed, out rmsError, out oobRmsError,
out relClassError, out oobRelClassError);
}
return(randomForestModel);
}
private RandomForestClassification(RandomForestClassification original, Cloner cloner)
: base(original, cloner)
{
}
