/// <summary>
/// Create new NeuralNetworkEvolver to train on specific input/target data.
/// </summary>
/// <param name="breed">Breeding flag.</param>
/// <param name="sourcenn">NeuralNetwork to evolve.</param>
/// <param name="nThreads">Number of threads to simulate evolution on.</param>
/// <param name="inData">Input data.</param>
/// <param name="targetDat">Target output data.</param>
public NeuralNetworkEvolver(bool breed, NeuralNetwork sourcenn, int nThreads, float[][] inData, float[][] targetDat)
{
numThreads = nThreads;
sourceNetwork = sourcenn;
inputOutputLossFunction = premadePerfFunc;
inputData = inData;
targetData = targetDat;
breeding = breed;
threads = new Thread[numThreads];
subjects = new NeuralNetworkProgram[numThreads];
readyNextData = new bool[numThreads];
for (int i = 0; i < nThreads; i++)
{
int ci = i;
threads[i] = new Thread(() => evolverThread(ci));
readyNextData[i] = false;
subjects[i] = new NeuralNetworkProgram(sourcenn);
subjects[i].neuralNetwork = new NeuralNetwork(sourceNetwork);
subjects[i].neuralNetwork.CopyWeightsAndBiases(sourceNetwork);
}
}
/// <summary>
/// Create new NeuralNetworkEvolver to train using a custom performance function.
/// </summary>
/// <param name="breed">Breeding flag.</param>
/// <param name="sourcenn">NeuralNetwork to evolve.</param>
/// <param name="nThreads">Number of threads to simulate evolution on.</param>
/// <param name="perfFunc">Performance/InputOutput processing function.</param>
public NeuralNetworkEvolver(bool breed, NeuralNetwork sourcenn, int nThreads, ProcessOutputInputGetLoss lossFunc)
{
numThreads = nThreads;
sourceNetwork = sourcenn;
inputOutputLossFunction = lossFunc;
breeding = breed;
threads = new Thread[numThreads];
subjects = new NeuralNetworkProgram[numThreads];
readyNextData = new bool[numThreads];
for (int i = 0; i < nThreads; i++)
{
int ci = i;
threads[i] = new Thread(() => evolverThread(ci));
readyNextData[i] = false;
subjects[i] = new NeuralNetworkProgram(sourcenn);
subjects[i].neuralNetwork = new NeuralNetwork(sourceNetwork);
subjects[i].neuralNetwork.CopyWeightsAndBiases(sourceNetwork);
}
}
