Impact analysis in C#

using BayesServer.Analysis;
using BayesServer.Inference;
using System;
using System.Collections.Generic;
using System.ComponentModel.Design;
using System.Linq;
using System.Text;

namespace BayesServer.HelpSamples
{
    public static class ImpactAnalysisExample
    {
        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(@"Waste.bayes");

            // discrete
            var burningRegimen = network.Variables["Burning Regimen", true];
            var wasteType = network.Variables["Waste type", true];
            var filterState = network.Variables["Filter state", true];

            // continuous
            var filterEfficiency = network.Variables["Filter efficiency", true];
            var dustEmission = network.Variables["Dust emission", true];
            var metalsInWaste = network.Variables["Metals in waste", true];
            var co2Concentration = network.Variables["CO2 concentration", true];
            var lightPenetrability = network.Variables["Light penetrability", true];
            var metalsEmission = network.Variables["Metals emission", true];

            var filterStateIntact = filterState.States["Intact", true];
            var wasteTypeIndustrial = wasteType.States["Industrial", true];

            var evidence = new Evidence(network);
            evidence.Set(lightPenetrability, 0.2);
            evidence.Set(co2Concentration, -1.0);
            evidence.SetState(wasteTypeIndustrial);

            var options = new ImpactOptions();
            options.SubsetMethod = ImpactSubsetMethod.Exclude;
            options.MaxEvidenceSubsetSize = 1;

            var evidenceToAnalyse = new Variable[] { lightPenetrability, co2Concentration, wasteType };

            var output = Impact.Calculate(
                network,
                filterState,
                filterStateIntact,
                evidence,
                evidenceToAnalyse,
                options
                );

            Console.WriteLine($"P(Intact) (all evdience) = {output.Hypothesis.StateProbabilityAll}");
            Console.WriteLine($"P(Intact) (no evdience) = {output.Hypothesis.StateProbabilityNone}");

            Console.WriteLine();

            foreach (var item in output.Items)
            {
                Console.WriteLine(string.Join(',', item.EvidenceFlags));
                Console.WriteLine("\tP(Intact)\t" + item.StateProbability);
            }

            // Expected output...

            //  P(Intact)(all evidence) = 0.8806625135255
            //  P(Intact)(no evidence) = 0.95

            //  False,True,True
            //        P(Intact)       0.95
            //  True,False,True
            //        P(Intact)       0.447566691128873
            //  True,True,False
            //        P(Intact)       0.858460027839224


        }
    }
}