public Guid Evaluate([FromBody] StocksEvaluationJobRequest request)
{
var net = Net.FromDescription(request.Net);
var data = _events.TrainingEvents
.Select(evt => Tuple.Create(evt.GetInputArray(), evt.GetOutputArray()));
return(_evalJobRepository.CreateProcess((action, token) =>
{
var eval = net.GetEvaluationFunction();
var results = new List <Tuple <float, float> >();
var avgError = 0d;
var testCount = 0;
foreach (var test in data)
{
testCount += 1;
var result = eval(test.Item1);
avgError += Math.Abs(result[0] - test.Item2[0]);
results.Add(Tuple.Create(test.Item2[0], result[0]));
if (token.IsCancellationRequested)
{
break;
}
}
action(new EvaluationJob()
{
AvgError = (float)(avgError / testCount),
ExpectedActuals = results,
Net = net.Description
});
}));
}
public Guid Post(StocksTrainingJobRequest request)
{
// build description
request.HiddenLayerNodeCounts = request.HiddenLayerNodeCounts ?? new List <int>();
request.HiddenLayerNodeCounts.Add(1);
var description = SimpleDescriptionBuilder.GetDescription(4, request.HiddenLayerNodeCounts.ToArray());
foreach (var id in description.Outputs)
{
var outNode = description.Nodes.Single(n => n.NodeId == id);
outNode.Processor = null;
}
// get training events
var tests = _events.TrainingEvents
.Select(evt => Tuple.Create(evt.GetInputArray(), evt.GetOutputArray()));
// get net
var net = Net.FromDescription(description);
// initialize weights
WeightFiller.FillWeights(net, request.WeightVariance);
// create a trainer
var trainer = new Trainer(tests, net);
// add to the repository and return the id
return(_trainingJobRepository
.CreateProcess((progress, token) =>
{
trainer.Train(
learnFactor: request.InitialLearningRate,
inertia: request.InitialMomentum,
desiredError: request.DesiredError,
maxRuns: request.MaxIterations,
progress: progress,
cancel: token);
}));
}
public async Task <List <dynamic> > ReadFile(string filename, string subject)
{
string company = "";
List <string> entityIndex = new List <string>();
if (subject.ToUpper().Contains("SULAMERICA"))
{
company = "Sulamerica";
}
else if (subject.ToUpper().Contains("UNIMED"))
{
company = "Unimed";
}
List <ColumnControl> control = await _columnControlRepository.FindByCompany(company);
string[] lines = File.ReadAllLines(Directory.GetCurrentDirectory() + filename);
Process process = await _processRepository.CreateProcess(company);
string field = "";
foreach (string line in lines)
{
foreach (ColumnControl item in control)
{
for (int i = item.Start; i <= item.End; i++)
{
if (field.Length != item.Size)
{
field += line[i];
}
else
{
break;
}
}
entityIndex.Add(field);
field = "";
}
if (subject.ToUpper().Contains("SULAMERICA"))
{
Sulamerica obj = new Sulamerica
{
Sequencia = entityIndex[0],
Carteirinha = entityIndex[1],
Nome = entityIndex[2],
CPF = entityIndex[3],
DataRegistro = entityIndex[4],
Mais = entityIndex[5],
Valor = InsertDot(entityIndex[6]),
CodigoAleatorio = entityIndex[7],
Nascimento = entityIndex[8],
CNPJ = entityIndex[9],
NomeColaborador = entityIndex[10],
NE = entityIndex[11],
Process = process
};
list.Add(obj);
await _sulamericaRepository.Create(obj);
entityIndex.Clear();
}
else if (subject.ToUpper().Contains("UNIMED"))
{
Unimed obj = new Unimed
{
TipoServico = entityIndex[0],
DataConsumo = DateTime.ParseExact(entityIndex[1], "ddMMyyyy", CultureInfo.CreateSpecificCulture("pt-BR")),
ne = entityIndex[2],
CodigoDependenteSistema = entityIndex[3],
Nome = entityIndex[4],
Crm = entityIndex[5],
ValorDespesa = decimal.Parse(entityIndex[6]),
Amb = entityIndex[7],
ControleUnimedLotacao = entityIndex[8],
ControleUnimedAcomodacao = entityIndex[9],
Pago = entityIndex[10],
Process = process
};
list.Add(obj);
await _unimedRepository.Create(obj);
entityIndex.Clear();
}
}
return(list);
}
