Parameter tuning in C#

using BayesServer.Analysis;
using BayesServer.Inference;
using BayesServer.Inference.RelevanceTree;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;

namespace BayesServer.HelpSamples
{
    public static class ParameterTuningExample
    {
        public static void Main()
        {
            var network = new Network();

            // TODO download the network from the Bayes Server User Interface (or Bayes Server Online)
            // and adjust the following path
            network.Load(@"Asia.bayes");

            var visitToAsia = network.Variables["Visit to Asia", true];
            var hasLungCancer = network.Variables["Has Lung Cancer", true];
            var tuberculosisOrCancer = network.Variables["Tuberculosis or Cancer", true];
            var smoker = network.Variables["Smoker", true];
            var hasTuberculosis = network.Variables["Has Tuberculosis", true];
            var dyspnea = network.Variables["Dyspnea", true];
            var xRayResult = network.Variables["XRay Result", true];
            var hasBronchitis = network.Variables["Has Bronchitis", true];

            var xRayResultAbnormal = xRayResult.States["Abnormal", true];
            var smokerFalse = smoker.States["False", true];
            var hasLungCancerFalse = hasLungCancer.States["False", true];

            var evidence = new Evidence(network);

            // TODO set any evidence here if you need to...


            var sensitivity = new SensitivityToParameters(network, new RelevanceTreeInferenceFactory());

            var parametersToTest = new List<ParameterReference>();
            parametersToTest.Add(new ParameterReference(
                        hasLungCancer.Node,
                        new State[] { hasLungCancerFalse, smokerFalse }
                        ));

            Console.WriteLine($"Node\tParameter\tMin\tMax");

            foreach(var parameter in parametersToTest)
            {
                var oneWay = sensitivity.OneWay(
                    evidence,
                    xRayResultAbnormal,
                    parameter
                    );

                try
                {
                    var output = ParameterTuning.OneWaySimple(
                        oneWay,
                        new Interval<double>(0.2, 0.25, IntervalEndPoint.Closed, IntervalEndPoint.Closed));

                    var paramStatesText = "[" + string.Join(",", parameter.States.Select(s => s.Variable.Name + " = " + s.Name)) + "]";
                    Console.WriteLine($"{parameter.Node.Name}\t{paramStatesText}\t{output.Interval.Minimum}\t{output.Interval.Maximum}");
                }
                catch (ConstraintNotSatisfiedException)
                {
                    Console.WriteLine("Ignoring here as solution not found for this parameter.");
                }
            }

            // Expected output...

            // Node Parameter       Min Max
            // Has Lung Cancer[Has Lung Cancer = False, Smoker = False]        0.686390938882659       0.795047852504759

        }
    }
}