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

Class org.apache.mahout.math.function.DoubleDoubleFunction

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

org.apache.mahout.math.function.DoubleDoubleFunction.apply()
Apply the function to the arguments and return the result @param arg1 a double for the first argument @param arg2 a double for the second argument @return the result of applying the function

    final DoubleDoubleFunction costFunction = NeuralNetworkFunctions.getDerivativeDoubleDoubleFunction(this.costFunctionName);


    Matrix lastWeightMatrix = this.weightMatrixList.get(this.weightMatrixList.size() - 1);


    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)));
    }

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        NeuralNetworkFunctions.getDerivativeDoubleDoubleFunction(costFunctionName);


    Matrix lastWeightMatrix = weightMatrixList.get(weightMatrixList.size() - 1);


    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)));
    }

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