[mlpack-git] [mlpack] ANN Saving the network and reloading (#531)

[sudarshan]

Thank you. I checked out pr/536 and linked the include directories and lib from there. I got rid off all the compiler error. However, I get a 100% classification error when I use std::make_tuple, but when I use std::tie I get 4.95916%. This is my funciton:
```
auto BuildFFN(MatType& trainData, MatType& trainLabels, MatType& testData, MatType& testLabels, const size_t hiddenLayerSize)
{
    // input layer
    ann::LinearLayer<> inputLayer(trainData.n_rows, hiddenLayerSize);
    ann::BiasLayer<> inputBiasLayer(hiddenLayerSize);
    ann::BaseLayer<PerformanceFunction> inputBaseLayer;

    // hidden layer
    ann::LinearLayer<> hiddenLayer1(hiddenLayerSize, trainLabels.n_rows);
    ann::BiasLayer<> hiddenBiasLayer1(trainLabels.n_rows);
    ann::BaseLayer<PerformanceFunction> outputLayer;

    // output layer
    OutputLayerType classOutputLayer;

    auto modules = std::tie(inputLayer, inputBiasLayer, inputBaseLayer, hiddenLayer1, hiddenBiasLayer1, outputLayer);
    ann::FFN<decltype(modules), decltype(classOutputLayer), ann::RandomInitialization, PerformanceFunctionType> net(modules, classOutputLayer);

    net.Train(trainData, trainLabels);
    arma::mat prediction;
    net.Predict(testData, prediction);

    double classificationError;
    for (size_t i = 0; i < testData.n_cols; i++)
    {
        if (arma::sum(arma::sum(arma::abs(prediction.col(i) - testLabels.col(i)))) != 0)
        {
            classificationError++;
        }
    }

    std::cout << "Classification Error = " << (double(classificationError) / testData.n_cols) * 100 << "%" << std::endl;

    return net;
}
```

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Reply to this email directly or view it on GitHub:
https://github.com/mlpack/mlpack/issues/531#issuecomment-191313956
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