/// <summary>
/// Creates the instance and initialize it from given xml element.
/// This is the preferred way to instantiate settings.
/// </summary>
/// <param name="elem">
/// Xml data containing settings.
/// Content of xml element is always validated against the xml schema.
/// </param>
public FeedForwardNetworkSettings(XElement elem)
{
//Validation
ElemValidator validator = new ElemValidator();
Assembly assemblyRCNet = Assembly.GetExecutingAssembly();
validator.AddXsdFromResources(assemblyRCNet, "RCNet.Neural.Network.FF.FeedForwardNetworkSettings.xsd");
validator.AddXsdFromResources(assemblyRCNet, "RCNet.RCNetTypes.xsd");
XElement settingsElem = validator.Validate(elem, "rootElem");
//Parsing
OutputLayerActivation = ActivationFactory.LoadSettings(settingsElem.Descendants().First());
if (!IsAllowedActivation(OutputLayerActivation, out Interval outputRange))
{
throw new ApplicationException($"Activation can't be used in FF network. Activation function has to be stateless and has to support derivative calculation.");
}
OutputRange = outputRange;
//Hidden layers
HiddenLayerCollection = new List <HiddenLayerSettings>();
XElement hiddenLayersElem = settingsElem.Descendants("hiddenLayers").FirstOrDefault();
if (hiddenLayersElem != null)
{
foreach (XElement layerElem in hiddenLayersElem.Descendants("layer"))
{
HiddenLayerCollection.Add(new HiddenLayerSettings(layerElem));
}
}
//Trainer configuration
TrainerCfg = null;
foreach (XElement candidate in settingsElem.Descendants())
{
if (candidate.Name.LocalName == "linRegrTrainer")
{
TrainerCfg = new LinRegrTrainerSettings(candidate);
}
else if (candidate.Name.LocalName == "qrdRegrTrainer")
{
TrainerCfg = new QRDRegrTrainerSettings(candidate);
}
else if (candidate.Name.LocalName == "ridgeRegrTrainer")
{
TrainerCfg = new RidgeRegrTrainerSettings(candidate);
}
else if (candidate.Name.LocalName == "resPropTrainer")
{
TrainerCfg = new RPropTrainerSettings(candidate);
}
if (TrainerCfg != null)
{
break;
}
}
if (TrainerCfg == null)
{
throw new Exception("Trainer settings not found.");
}
return;
}
//Constructors
/// <summary>
/// Creates an uninitialized instance
/// </summary>
public FeedForwardNetworkSettings()
{
OutputLayerActivation = null;
OutputRange = null;
HiddenLayerCollection = new List <HiddenLayerSettings>();
TrainerCfg = null;
return;
}
/// <summary>
/// The deep copy constructor
/// </summary>
/// <param name="source">Source instance</param>
public FeedForwardNetworkSettings(FeedForwardNetworkSettings source)
{
OutputLayerActivation = null;
OutputRange = null;
if (source.OutputLayerActivation != null)
{
OutputLayerActivation = ActivationFactory.DeepCloneActivationSettings(source.OutputLayerActivation);
OutputRange = source.OutputRange.DeepClone();
}
HiddenLayerCollection = new List <HiddenLayerSettings>(source.HiddenLayerCollection.Count);
foreach (HiddenLayerSettings shls in source.HiddenLayerCollection)
{
HiddenLayerCollection.Add(shls.DeepClone());
}
TrainerCfg = null;
if (source.TrainerCfg != null)
{
TrainerCfg = source.TrainerCfg.DeepClone();
}
return;
}
