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

[Ryan Curtin]

> +    "separate file to save the output data; The program requires you to "
> +    "specify the file name with --output_file (-o)."
> +    "\n\n"
> +    "For example, if we consider 'NULL' in dimension 0 to be a missing "
> +    "variable and want to delete whole row containing the NULL in the "
> +    "column-wise dataset, and save the result to result.csv, we could run"
> +    "\n\n"
> +    "$ mlpack_preprocess_imputer -i dataset.csv -o result.csv -m NULL -d 0 \n"
> +    "> -s listwise_deletion")
> +
> +PARAM_STRING_REQ("input_file", "File containing data,", "i");
> +PARAM_STRING("output_file", "File to save output", "o", "");
> +PARAM_STRING("missing_value", "User defined missing value", "m", "")
> +PARAM_STRING("strategy", "imputation strategy to be applied", "s", "")
> +PARAM_DOUBLE("custom_value", "user_defined custom value", "c", 0.0)
> +PARAM_INT("dimension", "the dimension to apply imputation", "d", 0);

What if the user wants to apply this imputation strategy to all dimensions?

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