<p>In <a href="https://github.com/mlpack/mlpack/pull/749#discussion_r74688857">src/mlpack/methods/lsh_model/lshmodel_impl.hpp</a>:</p>
<pre style='color:#555'>&gt; +  // the arithmetic and geometric mean of distances from each anchor to its
&gt; +  // k-Nearest Neighbor.
&gt; +  // The geometric mean of N numbers is the Nth root of the product of the
&gt; +  // numbers. Through logarithmic properties though, this becomes computable
&gt; +  // through exponentiating the mean of the logarithms of x:
&gt; +  // exp(mean(log(x))) = geometricmean(x).
&gt; +
&gt; +  // Number of samples to create for modeling the Gamma Distributions
&gt; +  size_t regressionExamples = 50; // TODO: parameter?
&gt; +
&gt; +  // Number of points to use as queries.
&gt; +  size_t numAnchors = (size_t) std::round(0.1 * numSamples);
&gt; +  arma::mat queryMat = sampleSet.cols(0, numAnchors - 1);
&gt; +  // Evenly spaced sample sizes.
&gt; +  arma::Col&lt;size_t&gt; referenceSizes = arma::conv_to&lt; arma::Col&lt;size_t&gt; &gt;::from(
&gt; +    arma::linspace(numAnchors, numSamples - numAnchors - 1,
</pre>
<p>Can't you call linspace with <code>arma::Col&lt;size_t&gt;</code> as a template parameter so you can avoid the <code>conv_to</code>?  I think that is possible.</p>

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