Examples of DoubleList

com.gs.collections.api.list.primitive.DoubleList
This file was automatically generated from template file primitiveList.stg. @since 3.0.
it.unimi.dsi.fastutil.doubles.DoubleList
org.apache.commons.collections.primitives.DoubleList
An ordered collection of double values. @see org.apache.commons.collections.primitives.adapters.DoubleListList @see org.apache.commons.collections.primitives.adapters.ListDoubleList @since Commons Primitives 1.0 @version $Revision: 1.3 $ $Date: 2003/10/16 20:49:36 $ @author Rodney Waldhoff
org.gephi.data.attributes.type.DoubleList
Complex type that define a list of Double items. Can be created from a double array, from a Double array or from single string using either given or default separators. @author Martin Škurla

Examples of org.apache.commons.collections.primitives.DoubleList


   public DoubleList getResult()
   {
      Layer last = builder.getNetwork().getLayers().getLast();


      DoubleList result = new ArrayDoubleList();
      for (Neuron neuron : last.getNeurons())
      {
         result.add(neuron.getActivation());
      }


      return result;
   }

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Examples of org.apache.commons.collections.primitives.DoubleList

    * @return the results of execution of neural network
    */
   public DoubleList getResult()
   {
      Layer lastLayer = layers.getLast();
      DoubleList result = new ArrayDoubleList();


      for (Neuron n : lastLayer.getNeurons())
      {
         result.add(n.getActivation());
      }


      return result;
   }

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Examples of org.apache.commons.collections.primitives.DoubleList

   {
      for (int i = 0; i < originalLearningData.size(); ++i)
      {
         Sample pair = originalLearningData.get(i);


         DoubleList input = pair.getInput();


         Color c1 = Color.WHITE;
         Color c2 = Color.BLACK;
         if (originalLearningData.getOutputsCount() > 1)
         {
            Color color = null;
            int winner = JNMFMathUtils.indexOfMaxElement(pair.getOutput());
            if (winner == 0)
            {
               color = c1;
            }
            else if (winner == 1)
            {
               color = c2;
            }


            drawPoint(input.get(0), input.get(1), color);
         }
         else if (originalLearningData.getOutputsCount() == 1)
         {
            double value = pair.getOutput().get(0);


            Color color = null;
            if (value > 0)
            {
               color = c1;
            }
            else if (value <= 0)
            {
               color = c2;
            }


            drawPoint(input.get(0), input.get(1), color);
         }
      }


   }

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Examples of org.apache.commons.collections.primitives.DoubleList

      int[] result = new int[getOutputNeurons().size()];


      int pCount = outputNeuronsInfo.values().iterator().next().size();
      for (int i = 0; i < pCount; ++i)
      {
         DoubleList activations = new ArrayDoubleList();
         DoubleList targetValues = new ArrayDoubleList();


         for (Neuron outputNeuron : getOutputNeurons())
         {
            NeuronStepInfo step = outputNeuronsInfo.get(outputNeuron).get(i);
            activations.add(step.activation);
            targetValues.add(step.targetValue);
         }


         int indexOfMax = JNMFMathUtils.indexOfMaxElement(activations);
         if (indexOfMax == JNMFMathUtils.indexOfMaxElement(targetValues))
         {

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Examples of org.apache.commons.collections.primitives.DoubleList


   public DoubleList findBestCandidatesOutputWeights(Neuron candidate)
   {
      int outputsCount = getOutputNeurons().size();


      DoubleList bestWeights = null;
      double minNextE = Double.MAX_VALUE;


      for (int i = 0; i < 100; ++i)
      {
         DoubleList weights = new ArrayDoubleList(outputsCount);
         for (int j = 0; j < outputsCount; ++j)
         {
            double w = JNMFMathUtils.reflectToInterval(rand.nextDouble(), 0, 1, -1, 1);


            weights.add(w);
         }


         double nextE = calcNextE(candidate, weights);


         if (nextE < minNextE)

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Examples of org.apache.commons.collections.primitives.DoubleList


      for (Neuron candidateNeuron : candidates)
      {
         List<NeuronStepInfo> candidateInfo = candidateNeuronsInfo.get(candidateNeuron);


         DoubleList sigmas = new ArrayDoubleList();


         for (int p = 0; p < pCount; ++p)
         {
            double sigmaP = 0;
            for (int j = 0; j < outputNeuronsCount; ++j)
            {
               List<NeuronStepInfo> outputInfo = outputNeuronsInfo.get(getOutputNeurons().get(j));


               double avE = calcAvE(outputInfo);


               NeuronStepInfo stepPInfo = outputInfo.get(p);
               IFunction deriviative = candidateNeuron.getActivationFunction().getDerivative();
               sigmaP += Math.signum(calcCj(j, candidateNeuron)) * (stepPInfo.e - avE) *
                       deriviative.calc(candidateInfo.get(p).net);
            }


            sigmas.add(sigmaP);
         }


         sigmaPValues.put(candidateNeuron, sigmas);
      }
   }

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Examples of org.apache.commons.collections.primitives.DoubleList

      signalAfterTranslationEvent();
   }


   public DoubleList getOutput()
   {
      DoubleList output = new ArrayDoubleList();
      for (Neuron neuron : getNeurons())
      {
         output.add(neuron.getActivation());
      }


      return output;
   }

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Examples of org.apache.commons.collections.primitives.DoubleList

      Validate.notEmpty(forecastPerformers);
      double[] sum = new double[getOutputsCount()];


      for (IForecastPerformer forecastPerformer : forecastPerformers)
      {
         DoubleList partialResult = forecastPerformer.getResult();
         for (int i = 0; i < partialResult.size(); ++i)
         {
            sum[i] = sum[i] + partialResult.get(i);
         }
      }


      DoubleList result = new ArrayDoubleList();
      for (int i = 0; i < sum.length; ++i)
      {
         result.add(sum[i] / forecastPerformers.size());
      }


      return result;
   }

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Examples of org.apache.commons.collections.primitives.DoubleList

      currentVectorNumber = -1;
   }


   public void afterStep()
   {
      DoubleList networkResult = builder.getNetwork().getResult();
      DoubleList realResult = currentSample.getOutput();


      double error = JNMFMathUtils.distance(networkResult, realResult);
      sumError += error;


      if (learningData.isSplitedOnClasses())

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Examples of org.apache.commons.collections.primitives.DoubleList

   protected void calcAllErrors()
   {
      signalNewNetworkErrorCalculdated(this.sumError / (double) learningData.size());
      if (learningData.isSplitedOnClasses())
      {
         DoubleList notGuessedPercentByClasses = new ArrayDoubleList();
         for (int i = 0; i < learningData.getOutputsCount(); ++i)
         {
            double persent =
                    (double) notGuessedClasses[i] / (double) learningData.calcCountOfItems(i);


            if (Double.isNaN(persent))
            {
               persent = 0;
            }


            notGuessedPercentByClasses.add(persent);
         }


         signalNewNotGuessedLearningDataPercentCalculated(
                 (double) totalNotGuessedClasses / (double) learningData.size(),
                 notGuessedPercentByClasses);

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