public void GuessSentence()
{
network.GetInitilizationData();
network.InitializeNeuralNetwork();
network.TrainNetwork(network.TrainingData, 0.3, (network.TrainingData.Count - 1), 3);
NLPFeatureDataModel inputData = network.NormalizeInput("Please create an SOW");
//inputData.PhraseFeatures[0] = 0;
//inputData.PhraseFeatures[1] = 0;
//inputData.PhraseFeatures[2] = 0;
network.ForwardPropigation(inputData.PhraseFeatures);
Assert.IsTrue(true);
}
public virtual async Task MessageReceivedAsync(IDialogContext context, IAwaitable <IMessageActivity> result)
{
var message = await result;
NLPFeatureDataModel inputData = network.NormalizeInput(message.Text);
double[] guesses = network.ForwardPropigation(inputData.PhraseFeatures);
string r = "";
r += "I do not know what you are asking: " + (guesses[0] * 100) + "%";
r += ", Create an SOW: " + (guesses[1] * 100) + "%";
r += ", Create a new Client: " + (guesses[2] * 100) + "%";
if ((guesses[1] * 100) > 90)
{
context.Call(new SOWForm(), ResumeAfterOptionDialog);
}
}