public override string ToString()
{
var strValue = $"|Type:{LearnerType} |LRate:{LearningRate.ToString(CultureInfo.InvariantCulture)} " +
$"|Momentum:{Momentum.ToString(CultureInfo.InvariantCulture)} |Loss:{LossFunction}" +
$"|Eval:{EvaluationFunction}" + $"|L1:{L1Regularizer}" + $"|L2:{L2Regularizer}";
return(strValue);
}
public ProcessConfiguration GetConfiguration(PipelineContext context)
{
var pc = new ProcessConfiguration();
pc["LearningAlgorithm"] = LearningAlgorithm.ToString();
pc["Iterations"] = Iterations.ToString();
pc["Dimensions"] = Dimensions;
pc["LearningRate"] = LearningRate.ToString();
pc["TrainFile"] = context.GetAsString("TrainFile");
pc["TestFile"] = context.GetAsString("TestFile");
pc["AdditionalArgs"] = _additionalArgs;
return(pc);
}
public void SaveNetworkAsXML(string path)
{
XmlWriterSettings setting = new XmlWriterSettings();
setting.Indent = true;
Stream stream;
path += ".xml";
stream = new FileStream(path, FileMode.OpenOrCreate, FileAccess.Write);
using (XmlWriter writer = XmlWriter.Create(stream, setting))
{
writer.WriteStartDocument();
writer.WriteStartElement("NeuralNetwork");
writer.WriteAttributeString("learningRate", LearningRate.ToString());
writer.WriteAttributeString("name", Name.ToString());
foreach (Layer layer in Layers)
{
writer.WriteStartElement("Layer");
writer.WriteAttributeString("activationFunction", layer.activationFunction.ToString());
foreach (Neuron neuron in layer.Neurons)
{
writer.WriteStartElement("Neuron");
writer.WriteAttributeString("bias", neuron.Bias.ToString());
foreach (Dendrite dendrite in neuron.Dendrites)
{
writer.WriteStartElement("InputDendrite");
writer.WriteAttributeString("weight", dendrite.Weight.ToString());
writer.WriteEndElement();
}
writer.WriteEndElement();
}
writer.WriteEndElement();
}
writer.WriteEndElement();
writer.WriteEndDocument();
}
}
public void SaveNetworkToFile(string path)
{
List <string> tmp = new List <string>();
for (int i = 1; i < Layers.Count; i++)
{
foreach (Neuron neuron in Layers[i].Neurons)
{
foreach (Synapse synapse in neuron.Inputs)
{
tmp.Add(synapse.Weight.ToString(CultureInfo.InvariantCulture));
}
}
}
string build = $"{LearningRate.ToString()} {Functions.Alpha.ToString()} {Synapse.MinInitWeight} {Synapse.MaxInitWeight}";
foreach (Layer layer in Layers)
{
build += " " + layer.Neurons.Count.ToString();
}
tmp.Insert(0, build);
File.WriteAllLines(path, tmp);
}