Examples of org.apache.mahout.math.function.DoubleFunction.apply()

Class org.apache.mahout.math.function.DoubleFunction

Examples of org.apache.mahout.math.function.DoubleFunction.apply()

org.apache.mahout.math.function.DoubleFunction.apply()
Apply the function to the argument and return the result @param x double for the argument @return the result of applying the function

    for (int i = 0; i < deltaVec.size(); ++i) {
      double costFuncDerivative = costFunction.apply(labels.get(i), output.get(i + 1));
      // add regularization
      costFuncDerivative += this.regularizationWeight * lastWeightMatrix.viewRow(i).zSum();
      deltaVec.set(i, costFuncDerivative);
      deltaVec.set(i, deltaVec.get(i) * derivativeSquashingFunction.apply(output.get(i + 1)));
    }


    // start from previous layer of output layer
    for (int layer = this.layerSizeList.size() - 2; layer >= 0; --layer) {
      deltaVec = backPropagate(layer, deltaVec, internalResults, weightUpdateMatrices[layer]);

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    Vector delta = weightMatrix.transpose().times(nextLayerDelta);


    delta = delta.assign(curLayerOutput, new DoubleDoubleFunction() {
      @Override
      public double apply(double deltaElem, double curLayerOutputElem) {
        return deltaElem * derivativeSquashingFunction.apply(curLayerOutputElem);
      }
    });


    // update weights
    for (int i = 0; i < weightUpdateMatrix.rowSize(); ++i) {

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    for (int i = 0; i < deltaVec.size(); ++i) {
      double costFuncDerivative = costFunction.apply(labels.get(i), output.get(i + 1));
      // Add regularization
      costFuncDerivative += regularizationWeight * lastWeightMatrix.viewRow(i).zSum();
      deltaVec.set(i, costFuncDerivative);
      deltaVec.set(i, deltaVec.get(i) * derivativeSquashingFunction.apply(output.get(i + 1)));
    }


    // Start from previous layer of output layer
    for (int layer = layerSizeList.size() - 2; layer >= 0; --layer) {
      deltaVec = backPropagate(layer, deltaVec, internalResults, weightUpdateMatrices[layer]);

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    Vector delta = weightMatrix.transpose().times(nextLayerDelta);


    delta = delta.assign(curLayerOutput, new DoubleDoubleFunction() {
      @Override
      public double apply(double deltaElem, double curLayerOutputElem) {
        return deltaElem * derivativeSquashingFunction.apply(curLayerOutputElem);
      }
    });


    // Update weights
    for (int i = 0; i < weightUpdateMatrix.rowSize(); ++i) {

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