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<a href="mean__imputation_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#ifndef MLPACK_CORE_DATA_IMPUTE_STRATEGIES_MEAN_IMPUTATION_HPP</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#define MLPACK_CORE_DATA_IMPUTE_STRATEGIES_MEAN_IMPUTATION_HPP</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="prereqs_8hpp.html">mlpack/prereqs.hpp</a>&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacemlpack.html">mlpack</a> {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="keyword">namespace </span>data {</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00024"></a><span class="lineno"><a class="line" href="classmlpack_1_1data_1_1MeanImputation.html"> 24</a></span>&#160;<span class="keyword">class </span><a class="code" href="classmlpack_1_1data_1_1MeanImputation.html">MeanImputation</a></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;{</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="classmlpack_1_1data_1_1MeanImputation.html#a1499059ca0fc769bc2d325038b625ab6"> 37</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1data_1_1MeanImputation.html#a1499059ca0fc769bc2d325038b625ab6">Impute</a>(arma::Mat&lt;T&gt;&amp; input,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keyword">const</span> T&amp; mappedValue,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keyword">const</span> <span class="keywordtype">size_t</span> dimension,</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> columnMajor = <span class="keyword">true</span>)</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="keywordtype">double</span> sum = 0;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keywordtype">size_t</span> elems = 0; <span class="comment">// excluding nan or missing target</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keyword">using</span> PairType = std::pair&lt;size_t, size_t&gt;;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="comment">// dimensions and indexes are saved as pairs inside this vector.</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; std::vector&lt;PairType&gt; targets;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="comment">// calculate number of elements and sum of them excluding mapped value or</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="comment">// nan. while doing that, remember where mappedValue or NaN exists.</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keywordflow">if</span> (columnMajor)</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; input.n_cols; ++i)</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; {</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keywordflow">if</span> (input(dimension, i) == mappedValue ||</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; std::isnan(input(dimension, i)))</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; {</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; targets.emplace_back(dimension, i);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; }</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; elems++;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; sum += input(dimension, i);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; }</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; }</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; }</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; input.n_rows; ++i)</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordflow">if</span> (input(i, dimension) == mappedValue ||</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; std::isnan(input(i, dimension)))</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; targets.emplace_back(i, dimension);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; }</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; elems++;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; sum += input(i, dimension);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; }</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; }</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keywordflow">if</span> (elems == 0)</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <a class="code" href="classmlpack_1_1Log.html#a396b80849caab1ec8a856f9d06c31a1d">Log::Fatal</a> &lt;&lt; <span class="stringliteral">&quot;it is impossible to calculate mean; no valid elements in &quot;</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; &lt;&lt; <span class="stringliteral">&quot;the dimension&quot;</span> &lt;&lt; std::endl;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="comment">// calculate mean;</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> mean = sum / elems;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="comment">// Now replace the calculated mean to the missing variables</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="comment">// It only needs to loop through targets vector, not the whole matrix.</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> PairType&amp; target : targets)</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; input(target.first, target.second) = mean;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; }</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;}; <span class="comment">// class MeanImputation</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;} <span class="comment">// namespace data</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;} <span class="comment">// namespace mlpack</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;<span class="preprocessor">#endif</span></div><div class="ttc" id="namespacemlpack_html"><div class="ttname"><a href="namespacemlpack.html">mlpack</a></div><div class="ttdoc">Linear algebra utility functions, generally performed on matrices or vectors. </div><div class="ttdef"><b>Definition:</b> <a href="binarize_8hpp_source.html#l00018">binarize.hpp:18</a></div></div>
<div class="ttc" id="prereqs_8hpp_html"><div class="ttname"><a href="prereqs_8hpp.html">prereqs.hpp</a></div><div class="ttdoc">The core includes that mlpack expects; standard C++ includes and Armadillo. </div></div>
<div class="ttc" id="classmlpack_1_1Log_html_a396b80849caab1ec8a856f9d06c31a1d"><div class="ttname"><a href="classmlpack_1_1Log.html#a396b80849caab1ec8a856f9d06c31a1d">mlpack::Log::Fatal</a></div><div class="ttdeci">static MLPACK_EXPORT util::PrefixedOutStream Fatal</div><div class="ttdoc">Prints fatal messages prefixed with [FATAL], then terminates the program. </div><div class="ttdef"><b>Definition:</b> <a href="log_8hpp_source.html#l00090">log.hpp:90</a></div></div>
<div class="ttc" id="classmlpack_1_1data_1_1MeanImputation_html"><div class="ttname"><a href="classmlpack_1_1data_1_1MeanImputation.html">mlpack::data::MeanImputation</a></div><div class="ttdoc">A simple mean imputation class. </div><div class="ttdef"><b>Definition:</b> <a href="mean__imputation_8hpp_source.html#l00024">mean_imputation.hpp:24</a></div></div>
<div class="ttc" id="classmlpack_1_1data_1_1MeanImputation_html_a1499059ca0fc769bc2d325038b625ab6"><div class="ttname"><a href="classmlpack_1_1data_1_1MeanImputation.html#a1499059ca0fc769bc2d325038b625ab6">mlpack::data::MeanImputation::Impute</a></div><div class="ttdeci">void Impute(arma::Mat&lt; T &gt; &amp;input, const T &amp;mappedValue, const size_t dimension, const bool columnMajor=true)</div><div class="ttdoc">Impute function searches through the input looking for mappedValue and replaces it with the mean of t...</div><div class="ttdef"><b>Definition:</b> <a href="mean__imputation_8hpp_source.html#l00037">mean_imputation.hpp:37</a></div></div>
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