<p>In <a href="https://github.com/mlpack/mlpack/pull/694#discussion_r68699218">src/mlpack/tests/imputation_test.cpp</a>:</p>
<pre style='color:#555'>&gt; +BOOST_AUTO_TEST_CASE(MeanImputationTest)
&gt; +{
&gt; +  arma::mat input(&quot;3.0 0.0 2.0 0.0;&quot;
&gt; +                  &quot;5.0 6.0 0.0 6.0;&quot;
&gt; +                  &quot;9.0 8.0 4.0 8.0;&quot;);
&gt; +  arma::mat outputT; // assume input is transposed
&gt; +  arma::mat output;  // assume input is not transposed
&gt; +  double mappedValue = 0.0;
&gt; +
&gt; +  MeanImputation&lt;double&gt; imputer;
&gt; +
&gt; +  // transposed
&gt; +  imputer.Apply(input, outputT, mappedValue, 0/*dimension*/, true);
&gt; +
&gt; +  BOOST_REQUIRE_CLOSE(outputT(0, 0), 3.0, 1e-5);
&gt; +  BOOST_REQUIRE_CLOSE(outputT(0, 1), 2.5, 1e-5);
</pre>
<p>the current implementation applies only to the given dimension (0 in this case)<br>
so, 0 is ignored and mean is going to be (3 + 2) / 2 = 2.5<br>
and it replaces 0 with 2.5.</p>

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