private IItem CreateSolution()
{
var problemData = ProblemData;
var ds = problemData.Dataset;
var targetVariable = problemData.TargetVariable;
var allowedInputVariables = problemData.AllowedInputVariables.ToArray();
var trainingRows = problemData.TrainingIndices.ToArray();
lock (problemStateLocker) {
var model = new GaussianProcessModel(ds, targetVariable, allowedInputVariables, trainingRows, bestHyperParameters, (IMeanFunction)meanFunc.Clone(), (ICovarianceFunction)covFunc.Clone());
model.FixParameters();
return(model.CreateRegressionSolution((IRegressionProblemData)ProblemData.Clone()));
}
}
