public NonLinearCliquePotentialFunction(double[][] linearWeights, double[][] inputLayerWeights, double[][] outputLayerWeights, SeqClassifierFlags flags)
{
this.linearWeights = linearWeights;
this.inputLayerWeights = inputLayerWeights;
this.outputLayerWeights = outputLayerWeights;
this.flags = flags;
}
public NonLinearSecondOrderCliquePotentialFunction(double[][] inputLayerWeights4Edge, double[][] outputLayerWeights4Edge, double[][] inputLayerWeights, double[][] outputLayerWeights, SeqClassifierFlags flags)
{
this.inputLayerWeights4Edge = inputLayerWeights4Edge;
this.outputLayerWeights4Edge = outputLayerWeights4Edge;
this.inputLayerWeights = inputLayerWeights;
this.outputLayerWeights = outputLayerWeights;
this.flags = flags;
}
public virtual double[] HiddenLayerOutput(double[][] inputLayerWeights, int[] nodeCliqueFeatures, SeqClassifierFlags aFlag, double[] featureVal)
{
int layerOneSize = inputLayerWeights.Length;
if (layerOneCache == null || layerOneSize != layerOneCache.Length)
layerOneCache = new double[layerOneSize];
for (int i = 0; i < layerOneSize; i++)
{
double[] ws = inputLayerWeights[i];
double lOneW = 0;
double dotProd = 0;
for (int m = 0; m < nodeCliqueFeatures.Length; m++)
{
dotProd = ws[nodeCliqueFeatures[m]];
if (featureVal != null)
dotProd *= featureVal[m];
lOneW += dotProd;
}
layerOneCache[i] = lOneW;
}
if (!aFlag.useHiddenLayer)
return layerOneCache;
if (hiddenLayerCache == null || layerOneSize != hiddenLayerCache.Length)
hiddenLayerCache = new double[layerOneSize];
for (int i = 0; i < layerOneSize; i++)
{
if (aFlag.useSigmoid)
{
hiddenLayerCache[i] = Sigmoid(layerOneCache[i]);
}
else
{
hiddenLayerCache[i] = System.Math.Tanh(layerOneCache[i]);
}
}
return hiddenLayerCache;
}
