public FileBayesianNetwork InferModel(List <Belief> crenca)
{
FileBayesianNetwork _rede = new FileBayesianNetwork();
return(_rede);
}
public FileBayesianNetwork LoadFileRedeBayesiana(string file)
{
string dataAsJson = File.ReadAllText(@file);
FileBayesianNetwork redeBayesiana = JsonConvert.DeserializeObject <FileBayesianNetwork>(dataAsJson);
redeBayesiana = LoadRedeBayesiana(redeBayesiana);
return(redeBayesiana);
}
public FileBayesianNetwork LoadRedeBayesiana(FileBayesianNetwork rede)
{
FileBayesianNetwork redeBayesiana = rede;
foreach (var item in redeBayesiana.Nodes)
{
item.Cpts = GetCpt(item.CptsObject);
}
return(redeBayesiana);
}
public BayesInfer(FileBayesianNetwork redeBayesiana)
{
_redeBayesiana = redeBayesiana;
Rand.Restart(12347);
_redeBayesiana.Engine = new InferenceEngine();
_redeBayesiana.NodoRaiz = Variable.New <int>().Named("NofE");
_redeBayesiana.N = new Range(_redeBayesiana.NodoRaiz).Named("N");
_redeBayesiana.NodoRaiz.ObservedValue = 1;
///Carrega Modelo para inferência
LoadModel();
}
public async Task <List <String> > GetNodeRedeBayesiana(int idRede)
{
var arquivoRedeBayesiana = await _context.ArquivosRedeBayesiana.FindAsync(idRede);
ServiceRedeBayesiana serviceRede = new ServiceRedeBayesiana();
FileBayesianNetwork redeBayesiana = JsonConvert.DeserializeObject <FileBayesianNetwork>(arquivoRedeBayesiana.ArquivoJson);
List <String> nodeName = (from node in redeBayesiana.Nodes.ToList()
select node.Id).ToList();
return(nodeName);
}
public async Task <ActionResult <FileBayesianNetwork> > Inferencia([FromBody] InferViewModel data)
{
var arquivoRedeBayesiana = await _context.ArquivosRedeBayesiana.FindAsync(data.IdRede);
if (arquivoRedeBayesiana == null)
{
return(NotFound());
}
ServiceRedeBayesiana serviceRede = new ServiceRedeBayesiana();
FileBayesianNetwork redeBayesiana = JsonConvert.DeserializeObject <FileBayesianNetwork>(arquivoRedeBayesiana.ArquivoJson);
redeBayesiana = serviceRede.LoadRedeBayesiana(redeBayesiana);
BayesInfer bayesInfer = new BayesInfer(redeBayesiana);
redeBayesiana = bayesInfer.InferModel(data.ListBelief);
return(redeBayesiana);
}
// GET: NetworkNodeBelief/Create
public ActionResult Create(int id)
{
_nodeBeliefService.IdRede = id;
ArquivoRedeBayesiana arquivoRedeBayesiana = _context.ArquivosRedeBayesiana.Find(id);
if (arquivoRedeBayesiana == null)
{
return(NotFound());
}
ServiceRedeBayesiana serviceRede = new ServiceRedeBayesiana();
FileBayesianNetwork redeBayesiana = JsonConvert.DeserializeObject <FileBayesianNetwork>(arquivoRedeBayesiana.ArquivoJson);
List <Node> lstNode = redeBayesiana.Nodes.Where(n => n.Parents.Count == 0).ToList();
foreach (var item in _nodeBeliefService.NodesBelief)
{
Node _node = lstNode.Where(n => n.Id == item.Id).SingleOrDefault();
if (_node != null)
{
lstNode.Remove(_node);
}
}
ViewData["Id"] = new SelectList(lstNode, "Id", "Id");
ViewData["BeliefType"] = new[]
{
new SelectListItem()
{
Value = ((int)TypeBelief.Presente).ToString(), Text = "Presente"
},
new SelectListItem()
{
Value = ((int)TypeBelief.Ausente).ToString(), Text = "Ausente"
},
new SelectListItem()
{
Value = ((int)TypeBelief.Default).ToString(), Text = "Default"
},
};
return(View());
}
public async Task <JsonResult> InferBelief()
{
var arquivoRedeBayesiana = await _context.ArquivosRedeBayesiana.FindAsync(_nodeBeliefService.IdRede);
ServiceRedeBayesiana serviceRede = new ServiceRedeBayesiana();
FileBayesianNetwork redeBayesiana = JsonConvert.DeserializeObject <FileBayesianNetwork>(arquivoRedeBayesiana.ArquivoJson);
redeBayesiana = serviceRede.LoadRedeBayesiana(redeBayesiana);
BayesInfer bayesInfer = new BayesInfer(redeBayesiana);
List <Belief> beliefs = new List <Belief>();
foreach (var item in _nodeBeliefService.NodesBelief)
{
beliefs.Add(new Belief
{
NodeName = item.Id,
BeliefValue = item.BeliefType == 2 ? null : (int?)item.BeliefType
});
_logger.LogInformation("Message displayed: {Message}", "Node name add: " + item.Id);
}
try
{
redeBayesiana = bayesInfer.InferModel(beliefs);
_logger.LogInformation("Message displayed: {Message}", "Inferencia realizada em " + beliefs.Count + " nodos");
}
catch (Exception e)
{
_logger.LogError("Message displayed: {Message}", "Erro " + e.Message);
//throw;
}
NodeBeliefResult res;
List <NodeBeliefResult> lstNodeBeliefResult = new List <NodeBeliefResult>();
try
{
foreach (var item in redeBayesiana.Nodes)
{
res = new NodeBeliefResult();
res.NodeName = item.Id;
if (item.InferPrimary.IsObserved)
{
if (item.InferPrimary.ObservedValue[0] == 0)
{
res.ResultAusente = 1;
res.ResultPresente = 0;
}
else
{
res.ResultAusente = 0;
res.ResultPresente = 1;
}
}
else if (item.Parents.Count() == 0)
{
res.ResultAusente = item.InferProbPrior.ObservedValue.GetMean()[0];
res.ResultPresente = item.InferProbPrior.ObservedValue.GetMean()[1];
}
else
{
res.ResultAusente = item.InferModelResult[0].GetProbs()[1];
res.ResultPresente = item.InferModelResult[0].GetProbs()[0];
}
lstNodeBeliefResult.Add(res);
}
}
catch (Exception e)
{
_logger.LogError("Message displayed: {Message}", "Erro " + e.Message);
}
return(Json(lstNodeBeliefResult));
//return Json(lstNodeBeliefResult);
}
public JunctionTree(FileBayesianNetwork redeBayesiana)
{
_redeBayesiana = redeBayesiana;
}
