[mlpack-git] [mlpack] implement command line programs of softmaxRegression (#466)

[Ryan Curtin]

> +  //data::Load(labelFile, trainLabels, true);
> +
> +  std::cout<<trainData<<"\n\n";
> +  std::cout<<trainLabels<<"\n\n";
> +  if(trainData.n_cols != trainLabels.n_elem)
> +  {
> +    Log::Fatal << "Samples of input_data should same as the size "
> +                  "of input_label " << std::endl;
> +  }
> +
> +  size_t numClasses = CLI::GetParam<int>("number_of_classes");
> +  if(numClasses == 0){
> +    const std::set<size_t> unique_labels(std::begin(trainLabels),
> +                                         std::end(trainLabels));
> +    numClasses = unique_labels.size();
> +  }

I think `data::NormalizeLabels()` will do what you want here.

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