static void Main(string[] args)
{
DocumentRepository dr = new DocumentRepository();
string[] classes = dr.GetDocumentsClasses().ToArray();
string[] vocabulary = dr.GetVocabulary()
.Select(x => x.Value)
.ToArray();
TextClassifyingNeuralNetwork n = new TextClassifyingNeuralNetwork(classes, vocabulary);
IVisitor teacher = new NeuralNetworkTeacher();
n.Access(teacher);
string path = @"C:\Users\Alexander\Documents\Visual Studio 2013\Projects\EntityDb\EntityDb\bin\Debug\115Cat\test\acq";
string[] files = Directory.GetFiles(path);
foreach (var file in files)
{
string text = File.ReadAllText(file);
var watch = Stopwatch.StartNew();
string answer = n.Parse(text);
watch.Stop();
var elapsedMs = watch.ElapsedMilliseconds;
Console.WriteLine("{0} - {1} ({2}miliseconds)", "acq", answer, elapsedMs);
}
Console.ReadKey();
}
public void TeachNeuralNetwork(TextClassifyingNeuralNetwork neuralNetwork)
{
DocumentRepository dr = new DocumentRepository();
List <Document> docs;
int takenDocs = 0;
int bufferSize = 1000;
int docsCount = dr.DocumentsCount();
while (takenDocs < docsCount)
{
docs = dr.TakeDocuments(bufferSize, takenDocs);
takenDocs += docs.Count;
foreach (var doc in docs)
{
neuralNetwork.Study(doc.Tokens, doc.Classification);
}
}
}