Examples of gov.sandia.cognition.math.matrix.Vector.scale()

    final Vector betaCovPriorMean = VectorFactory.getDefault().copyArray(
      new double[] {200d});
    final double betaPriorCovDof = 2 + betaCovPriorMean.getDimensionality();
    final ScaledInverseGammaCovDistribution priorBetaCov =
        new ScaledInverseGammaCovDistribution(betaCovPriorMean.getDimensionality(),  
          betaCovPriorMean.scale(betaPriorCovDof - 1d).getElement(0), 
          betaPriorCovDof);
    final MultivariateGaussian priorBeta =
        new MultivariateGaussian(VectorFactory.getDenseDefault().copyArray(
            new double[] {0d}), priorBetaCov.getMean());

      final List<Vector> jointProbs = Lists.newArrayList();
      for (int i = 0; i < forwardProbabilities.size() - 1; i++) {
        final WeightedValue<Vector> input = forwardProbabilities.get(i);
        final Vector prod =
            hmm.getTransitionProbability().times(input.getValue());
        jointProbs.add(prod.scale(1d / prod.norm1()));
      }
      jointProbs
          .add(Iterables.getLast(forwardProbabilities).getValue());
      
      return jointProbs;

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