private void button4_Click(object sender, EventArgs e)
{
Training session = new Training();
Random rnd = new Random();
session.trainingData = Training.GenerateTrainingData(rnd);
GA ga = new GA(100, session.QuadraticLoss, 1, 1, NN.Activation.Sigmoid, NN.Activation.Sigmoid, 1, 3, 2, 10, -1, 1, -1, 1, 5, 0.9, 1.1);
Debug.WriteLine("Initialized");
while (true)
{
for (int i = 0; i < 10; i++)
{
bool success = ga.Iterate();
}
Debug.Write("cost: " + ga.population[0].cost);
Debug.Write(" y: " + session.trainingData[0][1][0]);
ga.population[0].nodes[0][0] = (float)session.trainingData[0][0][0];
ga.population[0].Iterate();
Debug.Write(" a: " + ga.population[0].nodes[ga.population[0].nodes.Length - 1][0]);
Debug.Write(Environment.NewLine);
double x = NN.NextDouble(rnd, 0, 1);
Debug.Write("test: x: " + x);
ga.population[0].nodes[0][0] = (float)x;
ga.population[0].Iterate();
Debug.Write(" a: " + ga.population[0].nodes[ga.population[0].nodes.Length - 1][0]);
Debug.WriteLine(Environment.NewLine);
}
}
private void button1_Click(object sender, EventArgs e)
{
Training session = new Training();
session.trainingData = Training.LoadTrainingData(Environment.CurrentDirectory + @"\training-articles.csv");
GA ga = new GA(250, session.QuadraticLoss, 128, 4, NN.Activation.Sigmoid, NN.Activation.Sigmoid, 1, 4, 16, 64, -1, 1, -1, 1, 10, 0.8, 1.2);
while (true)
{
ga.Iterate();
Debug.WriteLine("Iterated. Cost: " + ga.population[0].cost);
string test = "Some progress made on Medicaid expansion governor says";
double[] encodedTest = Training.EncodeString(test);
for (int i = 0; i < encodedTest.Length; i++)
{
ga.population[0].nodes[0][i] = (float)encodedTest[i];
}
ga.population[0].Iterate();
Debug.WriteLine("test string predicted category 1: " + ga.population[0].nodes[ga.population[0].nodes.Length - 1][0] + ga.population[0].nodes[ga.population[0].nodes.Length - 1][1] + ga.population[0].nodes[ga.population[0].nodes.Length - 1][2] + ga.population[0].nodes[ga.population[0].nodes.Length - 1][3]);
string test2 = "Top Banana Chiquita And Fyffe Announce Merger";
double[] encodedTest2 = Training.EncodeString(test2);
for (int i = 0; i < encodedTest2.Length; i++)
{
ga.population[0].nodes[0][i] = (float)encodedTest2[i];
}
ga.population[0].Iterate();
Debug.WriteLine("test string predicted category 2: " + ga.population[0].nodes[ga.population[0].nodes.Length - 1][0] + ga.population[0].nodes[ga.population[0].nodes.Length - 1][1] + ga.population[0].nodes[ga.population[0].nodes.Length - 1][2] + ga.population[0].nodes[ga.population[0].nodes.Length - 1][3]);
string test3 = "The Flash TV series casts Godzilla actor";
double[] encodedTest3 = Training.EncodeString(test3);
for (int i = 0; i < encodedTest3.Length; i++)
{
ga.population[0].nodes[0][i] = (float)encodedTest3[i];
}
ga.population[0].Iterate();
Debug.WriteLine("test string predicted category 3: " + ga.population[0].nodes[ga.population[0].nodes.Length - 1][0] + ga.population[0].nodes[ga.population[0].nodes.Length - 1][1] + ga.population[0].nodes[ga.population[0].nodes.Length - 1][2] + ga.population[0].nodes[ga.population[0].nodes.Length - 1][3]);
}
}
