public override IRegressionModel Build(IRegressionProblemData pd, IRandom random, CancellationToken cancellationToken, out int numberOfParameters)
{
if (pd.Dataset.Rows < MinLeafSize(pd))
{
throw new ArgumentException("The number of training instances is too small to create a linear model");
}
double rmse, cvRmse;
numberOfParameters = pd.AllowedInputVariables.Count() + 1;
var res = LinearRegression.CreateSolution(pd, out rmse, out cvRmse);
return(res.Model);
}
private LinearRegression(LinearRegression original, Cloner cloner)
: base(original, cloner)
{
}