<p>In <a href="https://github.com/mlpack/mlpack/pull/747#discussion_r75175754">src/mlpack/methods/neighbor_search/knn_main.cpp</a>:</p>
<pre style='color:#555'>&gt; @@ -209,12 +245,6 @@ int main(int argc, char *argv[])
&gt;      Log::Info &lt;&lt; &quot;Loaded kNN model from &#39;&quot; &lt;&lt; inputModelFile &lt;&lt; &quot;&#39; (trained on &quot;
&gt;          &lt;&lt; knn.Dataset().n_rows &lt;&lt; &quot;x&quot; &lt;&lt; knn.Dataset().n_cols &lt;&lt; &quot; dataset).&quot;
&gt;          &lt;&lt; endl;
&gt; -
&gt; -    // Adjust singleMode and naive if necessary.
&gt; -    knn.SingleMode() = CLI::HasParam(&quot;single_mode&quot;);
&gt; -    knn.Naive() = CLI::HasParam(&quot;naive&quot;);
&gt; -    knn.LeafSize() = size_t(lsInt);
&gt; -    knn.Epsilon() = epsilon;
</pre>
<p>A possible approach is this:<br>
"When providing an input model file, all the extra options that are provided will be updated in the given model."<br>
With the only limitation that it is not possible to modify a single tree model to a dual tree model, because we don't have a "--dual_mode" command line option.</p>

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