public static Network Load(string file)
{
NetworkSaveData data = null;
try {
data = JsonConvert.DeserializeObject <NetworkSaveData>(File.ReadAllText(file));
} catch (Exception exception) {
//TODO: Logging?
throw exception;
}
Network network = new Network();
network.ActivationFunctionType = (ActivationFunctionType)data.ActivationFunctionType;
network.learningRate = data.LearningRate;
network.NeuronCurrentId = data.NeuronCurrentId;
network.ConnectionCurrentId = data.ConnectionCurrentId;
network.Inputs = data.Inputs.Select(x => new Neuron(network, x)).ToList();
network.Hidden = data.Hidden.Select(x => x.Select(y => new Neuron(network, y)).ToList()).ToList();
network.Outputs = data.Output.Select(x => new Neuron(network, x)).ToList();
List <Neuron> all = network.Inputs.Select(x => x).ToList();
foreach (List <Neuron> column in network.Hidden)
{
all.AddRange(column);
}
all.AddRange(network.Outputs);
network.Connections = data.Connections.Select(x => new Connection(all.First(y => y.Id == x.InId), all.First(y => y.Id == x.OutId), x)).ToList();
return(network);
}
public static void Save(Network network, string file)
{
NetworkSaveData data = new NetworkSaveData()
{
ActivationFunctionType = (int)network.ActivationFunctionType,
LearningRate = network.learningRate,
NeuronCurrentId = network.NeuronCurrentId,
ConnectionCurrentId = network.ConnectionCurrentId,
Inputs = network.Inputs.Select(x => new NeuronSaveData()
{
Id = x.Id
}).ToList(),
Hidden = network.Hidden.Select(x => x.Select(y => new NeuronSaveData()
{
Id = y.Id
}).ToList()).ToList(),
Output = network.Outputs.Select(x => new NeuronSaveData()
{
Id = x.Id
}).ToList(),
Connections = network.Connections.Select(x => new ConnectionSaveData()
{
Id = x.Id, InId = x.In.Id, OutId = x.Out.Id, Weight = x.Weight
}).ToList()
};
try {
File.WriteAllText(file, JsonConvert.SerializeObject(data, Formatting.None));
} catch (Exception exception) {
//TODO: Logging?
throw exception;
}
}
