<p>In <a href="https://github.com/mlpack/mlpack/pull/726#discussion_r73703177">src/mlpack/core/tree/binary_space_tree/rp_tree_mean_split_impl.hpp</a>:</p>
<pre style='color:#555'>> + if (values[0] == values[values.size() - 1])
> + return false;
> +
> + splitVal = values[values.size() / 2];
> +
> + return true;
> +}
> +
> +template<typename BoundType, typename MatType>
> +bool RPTreeMeanSplit<BoundType, MatType>::GetMeanMedian(
> + const MatType& data,
> + const arma::uvec& samples,
> + arma::Col<ElemType>& mean,
> + ElemType& splitVal)
> +{
> + std::vector<ElemType> values(samples.n_elem);
</pre>
<p>Same here, I think the Armadillo object will be a better choice.</p>
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