[mlpack-git] [mlpack/mlpack] DatasetMapper & Imputer (#694)

[Keon Kim]

> +              const T& mappedValue,
> +              const size_t dimension,
> +              const bool transpose = true)
> +  {
> +    // initiate output
> +    output = input;
> +    size_t count = 0;
> +
> +    if (transpose)
> +    {
> +      for (size_t i = 0; i < input.n_cols; ++i)
> +      {
> +         if (input(dimension, i) == mappedValue ||
> +             std::isnan(input(dimension, i)))
> +         {
> +           output.shed_col(i - count);

I tested listwise_deletion to impute iris.csv with 100000 looping.
Original Way
[INFO ]   impute: 4.265383s
Cols() Way
[INFO ]   impute: 4.129703s
Turns out that using cols() is slightly faster.

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