/// <summary>
/// Save the specified Encog object to an XML writer.
/// </summary>
/// <param name="obj">The object to save.</param>
/// <param name="xmlOut">The XML writer to save to.</param>
public void Save(IEncogPersistedObject obj, WriteXML xmlOut)
{
PersistorUtil.BeginEncogObject(
EncogPersistedCollection.TYPE_CONTEXT_LAYER, xmlOut, obj, false);
ContextLayer layer = (ContextLayer)obj;
xmlOut.AddProperty(BasicLayerPersistor.PROPERTY_NEURONS, layer
.NeuronCount);
xmlOut.AddProperty(BasicLayerPersistor.PROPERTY_X, layer.X);
xmlOut.AddProperty(BasicLayerPersistor.PROPERTY_Y, layer.Y);
if (layer.HasBias)
{
StringBuilder result = new StringBuilder();
NumberList.ToList(CSVFormat.EG_FORMAT, result, layer.BiasWeights);
xmlOut.AddProperty(BasicLayerPersistor.PROPERTY_THRESHOLD, result
.ToString());
}
StringBuilder ctx = new StringBuilder();
NumberList.ToList(CSVFormat.EG_FORMAT, ctx, layer.Context.Data);
xmlOut.AddProperty(PROPERTY_CONTEXT, ctx.ToString());
xmlOut.AddProperty(BasicLayerPersistor.PROPERTY_BIAS_ACTIVATION, layer.BiasActivation);
BasicLayerPersistor.SaveActivationFunction(layer.ActivationFunction, xmlOut);
xmlOut.EndTag();
}
/// <summary>
/// Load the specified Encog object from an XML reader.
/// </summary>
/// <param name="xmlIn">The XML reader to use.</param>
/// <returns>The loaded object.</returns>
public IEncogPersistedObject Load(ReadXML xmlIn)
{
int neuronCount = 0;
int x = 0;
int y = 0;
double biasActivation = 1;
String threshold = null;
IActivationFunction activation = null;
String end = xmlIn.LastTag.Name;
String context = null;
while (xmlIn.ReadToTag())
{
if (xmlIn.IsIt(BasicLayerPersistor.TAG_ACTIVATION, true))
{
xmlIn.ReadToTag();
String type = xmlIn.LastTag.Name;
activation = BasicLayerPersistor.LoadActivation(type, xmlIn);
}
else if (xmlIn.IsIt(BasicLayerPersistor.PROPERTY_NEURONS, true))
{
neuronCount = xmlIn.ReadIntToTag();
}
else if (xmlIn.IsIt(BasicLayerPersistor.PROPERTY_X, true))
{
x = xmlIn.ReadIntToTag();
}
else if (xmlIn.IsIt(BasicLayerPersistor.PROPERTY_Y, true))
{
y = xmlIn.ReadIntToTag();
}
else if (xmlIn.IsIt(BasicLayerPersistor.PROPERTY_THRESHOLD, true))
{
threshold = xmlIn.ReadTextToTag();
}
else if (xmlIn.IsIt(PROPERTY_CONTEXT, true))
{
context = xmlIn.ReadTextToTag();
}
else if (xmlIn.IsIt(BasicLayerPersistor.PROPERTY_BIAS_ACTIVATION, true))
{
biasActivation = double.Parse(xmlIn.ReadTextToTag());
}
else if (xmlIn.IsIt(end, false))
{
break;
}
}
if (neuronCount > 0)
{
ContextLayer layer;
if (threshold == null)
{
layer = new ContextLayer(activation, false, neuronCount);
}
else
{
double[] t = NumberList.FromList(CSVFormat.EG_FORMAT, threshold);
layer = new ContextLayer(activation, true, neuronCount);
for (int i = 0; i < t.Length; i++)
{
layer.BiasWeights[i] = t[i];
}
}
if (context != null)
{
double[] c = NumberList.FromList(CSVFormat.EG_FORMAT, context);
for (int i = 0; i < c.Length; i++)
{
layer.Context[i] = c[i];
}
}
layer.X = x;
layer.Y = y;
layer.BiasActivation = biasActivation;
return(layer);
}
return(null);
}