<p>In <a href="https://github.com/mlpack/mlpack/pull/465#discussion_r43119655">src/mlpack/methods/sparse_autoencoder/maximal_inputs.cpp</a>:</p>
<pre style='color:#555'>> + reshapeMat /= max;
> + }
> + output.submat(i*(offset), j*(offset),
> + i*(offset) + squareRows - 1,
> + j*(offset) + squareRows - 1) = reshapeMat;
> + ++k;
> + }
> + }
> +}
> +
> +}
> +
> +void MaximalInputs(arma::mat const &parameters, arma::mat &output)
> +{
> + //take the encoder part of the paramters
> + arma::mat paramTemp = parameters.submat(0, 0, (parameters.n_rows-1)/2-1, parameters.n_cols-2);
</pre>
<p>If you did transpose the parameters, here would be the place to do it (just add <code>.t()</code> to the end of the expression). I don't think it's reasonable to avoid a copy here, since you're subtracting the mean from <code>paramTemp</code>.</p>
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