private void BuildTree(double[,] xy, string[] allVariables, int maxSize)
{
int nRows = xy.GetLength(0);
var allowedInputs = allVariables.Skip(1);
var dataset = new Dataset(allVariables, xy);
var problemData = new RegressionProblemData(dataset, allowedInputs, allVariables.First());
problemData.TrainingPartition.Start = 0;
problemData.TrainingPartition.End = nRows;
problemData.TestPartition.Start = nRows;
problemData.TestPartition.End = nRows;
var solution = GradientBoostedTreesAlgorithmStatic.TrainGbm(problemData, new SquaredErrorLoss(), maxSize, nu: 1, r: 1, m: 1, maxIterations: 1, randSeed: 31415);
var model = solution.Model;
var treeM = model.Models.Skip(1).First() as RegressionTreeModel;
Console.WriteLine(treeM.ToString());
Console.WriteLine();
}
private IGradientBoostedTreesModel RecalculateModel()
{
return(GradientBoostedTreesAlgorithmStatic.TrainGbm(trainingProblemData, lossFunction, maxSize, nu, r, m, iterations, seed).Model);
}