private void computarProbabilidadesToolStripMenuItem_Click(object sender, EventArgs e)
{
tabControl1.SelectTab(0);
try
{
if (CheckConsistency())
{
//obtener la evidencia
if (flowChartViewer1.Charts.Count > 0 && Evidence.Count > 0)
{
GetEvidence();
}
//transformar el grafo del visor a un grafo de nodos bayesianos
var graph = new BayesianGraph();
//
var dict = new Dictionary <BayesianNode, BayesianNodeChartElement>(flowChartViewer1.Charts.Count);
BayesianNode node;
var dict2 = new Dictionary <BayesianNodeChartElement, BayesianNode>(flowChartViewer1.Charts.Count);
graph.Clear();
foreach (var item in flowChartViewer1.Charts.Cast <BayesianNodeChartElement>())
{
node = new BayesianNode(item.Parents.Count, item.Childs.Count(), item.States.Count,
item.Parents.Select(x => x.States.Count).ToArray())
{
Probabilities = item.Condicional_Probabilities, Name = item.Name
};
dict.Add(node, item);
dict2.Add(item, node);
item.CreateConditionalProbabilities();
graph.AddVertex(node);
}
foreach (var bnodechart in flowChartViewer1.Charts.Cast <BayesianNodeChartElement>())
{
foreach (var child in bnodechart.Childs)
{
graph.AddEdge(dict2[bnodechart], dict2[child]);
}
}
//ejecutar el traspaso de mensajes en un poliarbol o en una red multiplemente conexa
progressBar1.Value = 5;
//if(MessageTransfer.ParalellStartNumber>graph.Count)
MessageTransfer.Increment += UpdateProgress;
if (graph.Arbol())
{
if (Evidence.Count > 0)
{
MessageTransfer.Message_Tranfer_Poliarbol(graph, Evidence[EvidenceIndex]);
}
else
{
MessageTransfer.Message_Tranfer_Poliarbol(graph);
}
foreach (var nodebayesian in graph)
{
dict[nodebayesian].SetConditionalProbabilities(nodebayesian.ConditionalProbability);
}
}
else
{
var markovnet = new MarkovNet(graph);
if (Evidence.Count > 0)
{
MessageTransfer.Message_Tranfer_Arbol_Union(markovnet, Evidence[EvidenceIndex]);
}
else
{
MessageTransfer.Message_Tranfer_Arbol_Union(markovnet);
}
foreach (var nodebayesian in markovnet.BayesianNet)
{
dict[nodebayesian].SetConditionalProbabilities(nodebayesian.ConditionalProbability);
}
}
timer1.Stop();
progressBar1.Value = 100;
Tests.Add(new BayesianTest()
{
Evidence = Evidence[EvidenceIndex].Clone(),
Probabilities =
graph.Select(x => x.ConditionalProbability.Clone() as double[]).ToArray()
});
TestsIndex = Tests.Count - 1;
ShowConditionalProbabilities();
}
}
catch (Exception ex)
{
MessageBox.Show("Hubo algun problema al calcular las probabilidades condicionales. " + ex.Message);
}
}
