Enhance tests coverage and report output
This commit is contained in:
@@ -37,7 +37,7 @@
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</tr>
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<tr>
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<td class="headerItem">Test Date:</td>
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<td class="headerValue">2024-04-29 20:48:03</td>
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<td class="headerValue">2024-04-30 13:59:18</td>
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<td></td>
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<td class="headerItem">Functions:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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@@ -63,16 +63,16 @@
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</tr>
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<tr>
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<td class="coverFn"><a href="CFS.cc.gcov.html#L9">_ZN8bayesnet3CFS3fitEv</a></td>
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<td class="coverFn"><a href="CFS.cc.gcov.html#L9">bayesnet::CFS::fit()</a></td>
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<td class="coverFnHi">70</td>
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<td class="coverFnHi">40</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="CFS.cc.gcov.html#L43">_ZN8bayesnet3CFS24computeContinueConditionERKSt6vectorIiSaIiEE</a></td>
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<td class="coverFn"><a href="CFS.cc.gcov.html#L43">bayesnet::CFS::computeContinueCondition(std::vector<int, std::allocator<int> > const&)</a></td>
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<td class="coverFnHi">328</td>
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<td class="coverFnHi">186</td>
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</tr>
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@@ -37,7 +37,7 @@
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</tr>
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<tr>
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<td class="headerItem">Test Date:</td>
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<td class="headerValue">2024-04-29 20:48:03</td>
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<td class="headerValue">2024-04-30 13:59:18</td>
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<td></td>
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<td class="headerItem">Functions:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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@@ -63,16 +63,16 @@
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</tr>
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<tr>
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<td class="coverFn"><a href="CFS.cc.gcov.html#L43">_ZN8bayesnet3CFS24computeContinueConditionERKSt6vectorIiSaIiEE</a></td>
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<td class="coverFn"><a href="CFS.cc.gcov.html#L43">bayesnet::CFS::computeContinueCondition(std::vector<int, std::allocator<int> > const&)</a></td>
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<td class="coverFnHi">328</td>
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<td class="coverFnHi">186</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="CFS.cc.gcov.html#L9">_ZN8bayesnet3CFS3fitEv</a></td>
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<td class="coverFn"><a href="CFS.cc.gcov.html#L9">bayesnet::CFS::fit()</a></td>
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<td class="coverFnHi">70</td>
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<td class="coverFnHi">40</td>
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</tr>
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@@ -37,7 +37,7 @@
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</tr>
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<tr>
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<td class="headerItem">Test Date:</td>
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<td class="headerValue">2024-04-29 20:48:03</td>
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<td class="headerValue">2024-04-30 13:59:18</td>
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<td></td>
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<td class="headerItem">Functions:</td>
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<td class="headerCovTableEntryHi">100.0 %</td>
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@@ -70,46 +70,46 @@
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<span id="L8"><span class="lineNum"> 8</span> : #include "bayesnet/utils/bayesnetUtils.h"</span>
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<span id="L9"><span class="lineNum"> 9</span> : #include "CFS.h"</span>
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<span id="L10"><span class="lineNum"> 10</span> : namespace bayesnet {</span>
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<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC tlaBgGNC"> 70 : void CFS::fit()</span></span>
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<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC tlaBgGNC"> 40 : void CFS::fit()</span></span>
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<span id="L12"><span class="lineNum"> 12</span> : {</span>
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<span id="L13"><span class="lineNum"> 13</span> <span class="tlaGNC"> 70 : initialize();</span></span>
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<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 70 : computeSuLabels();</span></span>
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<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 70 : auto featureOrder = argsort(suLabels); // sort descending order</span></span>
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<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 70 : auto continueCondition = true;</span></span>
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<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 70 : auto feature = featureOrder[0];</span></span>
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<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 70 : selectedFeatures.push_back(feature);</span></span>
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<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 70 : selectedScores.push_back(suLabels[feature]);</span></span>
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<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 70 : featureOrder.erase(featureOrder.begin());</span></span>
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<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 398 : while (continueCondition) {</span></span>
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<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 328 : double merit = std::numeric_limits<double>::lowest();</span></span>
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<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 328 : int bestFeature = -1;</span></span>
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<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 1929 : for (auto feature : featureOrder) {</span></span>
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<span id="L25"><span class="lineNum"> 25</span> <span class="tlaGNC"> 1601 : selectedFeatures.push_back(feature);</span></span>
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<span id="L13"><span class="lineNum"> 13</span> <span class="tlaGNC"> 40 : initialize();</span></span>
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<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 40 : computeSuLabels();</span></span>
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<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 40 : auto featureOrder = argsort(suLabels); // sort descending order</span></span>
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<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 40 : auto continueCondition = true;</span></span>
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<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 40 : auto feature = featureOrder[0];</span></span>
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<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 40 : selectedFeatures.push_back(feature);</span></span>
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<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 40 : selectedScores.push_back(suLabels[feature]);</span></span>
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<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 40 : featureOrder.erase(featureOrder.begin());</span></span>
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<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 226 : while (continueCondition) {</span></span>
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<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 186 : double merit = std::numeric_limits<double>::lowest();</span></span>
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<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 186 : int bestFeature = -1;</span></span>
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<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 1083 : for (auto feature : featureOrder) {</span></span>
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<span id="L25"><span class="lineNum"> 25</span> <span class="tlaGNC"> 897 : selectedFeatures.push_back(feature);</span></span>
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<span id="L26"><span class="lineNum"> 26</span> : // Compute merit with selectedFeatures</span>
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<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 1601 : auto meritNew = computeMeritCFS();</span></span>
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<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 1601 : if (meritNew > merit) {</span></span>
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<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 663 : merit = meritNew;</span></span>
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<span id="L30"><span class="lineNum"> 30</span> <span class="tlaGNC"> 663 : bestFeature = feature;</span></span>
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<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 897 : auto meritNew = computeMeritCFS();</span></span>
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<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 897 : if (meritNew > merit) {</span></span>
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<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 379 : merit = meritNew;</span></span>
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<span id="L30"><span class="lineNum"> 30</span> <span class="tlaGNC"> 379 : bestFeature = feature;</span></span>
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<span id="L31"><span class="lineNum"> 31</span> : }</span>
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<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 1601 : selectedFeatures.pop_back();</span></span>
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<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 897 : selectedFeatures.pop_back();</span></span>
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<span id="L33"><span class="lineNum"> 33</span> : }</span>
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<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 328 : if (bestFeature == -1) {</span></span>
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<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 186 : if (bestFeature == -1) {</span></span>
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<span id="L35"><span class="lineNum"> 35</span> : // meritNew has to be nan due to constant features</span>
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<span id="L36"><span class="lineNum"> 36</span> <span class="tlaUNC tlaBgUNC"> 0 : break;</span></span>
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<span id="L37"><span class="lineNum"> 37</span> : }</span>
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<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC tlaBgGNC"> 328 : selectedFeatures.push_back(bestFeature);</span></span>
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<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 328 : selectedScores.push_back(merit);</span></span>
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<span id="L40"><span class="lineNum"> 40</span> <span class="tlaGNC"> 328 : featureOrder.erase(remove(featureOrder.begin(), featureOrder.end(), bestFeature), featureOrder.end());</span></span>
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<span id="L41"><span class="lineNum"> 41</span> <span class="tlaGNC"> 328 : continueCondition = computeContinueCondition(featureOrder);</span></span>
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<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC tlaBgGNC"> 186 : selectedFeatures.push_back(bestFeature);</span></span>
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<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 186 : selectedScores.push_back(merit);</span></span>
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<span id="L40"><span class="lineNum"> 40</span> <span class="tlaGNC"> 186 : featureOrder.erase(remove(featureOrder.begin(), featureOrder.end(), bestFeature), featureOrder.end());</span></span>
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<span id="L41"><span class="lineNum"> 41</span> <span class="tlaGNC"> 186 : continueCondition = computeContinueCondition(featureOrder);</span></span>
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<span id="L42"><span class="lineNum"> 42</span> : }</span>
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<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 70 : fitted = true;</span></span>
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<span id="L44"><span class="lineNum"> 44</span> <span class="tlaGNC"> 70 : }</span></span>
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<span id="L45"><span class="lineNum"> 45</span> <span class="tlaGNC"> 328 : bool CFS::computeContinueCondition(const std::vector<int>& featureOrder)</span></span>
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<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 40 : fitted = true;</span></span>
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<span id="L44"><span class="lineNum"> 44</span> <span class="tlaGNC"> 40 : }</span></span>
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<span id="L45"><span class="lineNum"> 45</span> <span class="tlaGNC"> 186 : bool CFS::computeContinueCondition(const std::vector<int>& featureOrder)</span></span>
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<span id="L46"><span class="lineNum"> 46</span> : {</span>
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<span id="L47"><span class="lineNum"> 47</span> <span class="tlaGNC"> 328 : if (selectedFeatures.size() == maxFeatures || featureOrder.size() == 0) {</span></span>
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<span id="L48"><span class="lineNum"> 48</span> <span class="tlaGNC"> 11 : return false;</span></span>
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<span id="L47"><span class="lineNum"> 47</span> <span class="tlaGNC"> 186 : if (selectedFeatures.size() == maxFeatures || featureOrder.size() == 0) {</span></span>
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<span id="L48"><span class="lineNum"> 48</span> <span class="tlaGNC"> 7 : return false;</span></span>
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<span id="L49"><span class="lineNum"> 49</span> : }</span>
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<span id="L50"><span class="lineNum"> 50</span> <span class="tlaGNC"> 317 : if (selectedScores.size() >= 5) {</span></span>
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<span id="L50"><span class="lineNum"> 50</span> <span class="tlaGNC"> 179 : if (selectedScores.size() >= 5) {</span></span>
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<span id="L51"><span class="lineNum"> 51</span> : /*</span>
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<span id="L52"><span class="lineNum"> 52</span> : "To prevent the best first search from exploring the entire</span>
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<span id="L53"><span class="lineNum"> 53</span> : feature subset search space, a stopping criterion is imposed.</span>
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@@ -117,25 +117,25 @@
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<span id="L55"><span class="lineNum"> 55</span> : subsets show no improvement over the current best subset."</span>
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<span id="L56"><span class="lineNum"> 56</span> : as stated in Mark A.Hall Thesis</span>
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<span id="L57"><span class="lineNum"> 57</span> : */</span>
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<span id="L58"><span class="lineNum"> 58</span> <span class="tlaGNC"> 118 : double item_ant = std::numeric_limits<double>::lowest();</span></span>
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<span id="L59"><span class="lineNum"> 59</span> <span class="tlaGNC"> 118 : int num = 0;</span></span>
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<span id="L60"><span class="lineNum"> 60</span> <span class="tlaGNC"> 118 : std::vector<double> lastFive(selectedScores.end() - 5, selectedScores.end());</span></span>
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<span id="L61"><span class="lineNum"> 61</span> <span class="tlaGNC"> 472 : for (auto item : lastFive) {</span></span>
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<span id="L62"><span class="lineNum"> 62</span> <span class="tlaGNC"> 413 : if (item_ant == std::numeric_limits<double>::lowest()) {</span></span>
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<span id="L63"><span class="lineNum"> 63</span> <span class="tlaGNC"> 118 : item_ant = item;</span></span>
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<span id="L58"><span class="lineNum"> 58</span> <span class="tlaGNC"> 66 : double item_ant = std::numeric_limits<double>::lowest();</span></span>
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<span id="L59"><span class="lineNum"> 59</span> <span class="tlaGNC"> 66 : int num = 0;</span></span>
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<span id="L60"><span class="lineNum"> 60</span> <span class="tlaGNC"> 66 : std::vector<double> lastFive(selectedScores.end() - 5, selectedScores.end());</span></span>
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<span id="L61"><span class="lineNum"> 61</span> <span class="tlaGNC"> 264 : for (auto item : lastFive) {</span></span>
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<span id="L62"><span class="lineNum"> 62</span> <span class="tlaGNC"> 231 : if (item_ant == std::numeric_limits<double>::lowest()) {</span></span>
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<span id="L63"><span class="lineNum"> 63</span> <span class="tlaGNC"> 66 : item_ant = item;</span></span>
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<span id="L64"><span class="lineNum"> 64</span> : }</span>
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<span id="L65"><span class="lineNum"> 65</span> <span class="tlaGNC"> 413 : if (item > item_ant) {</span></span>
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<span id="L66"><span class="lineNum"> 66</span> <span class="tlaGNC"> 59 : break;</span></span>
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<span id="L65"><span class="lineNum"> 65</span> <span class="tlaGNC"> 231 : if (item > item_ant) {</span></span>
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<span id="L66"><span class="lineNum"> 66</span> <span class="tlaGNC"> 33 : break;</span></span>
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<span id="L67"><span class="lineNum"> 67</span> : } else {</span>
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<span id="L68"><span class="lineNum"> 68</span> <span class="tlaGNC"> 354 : num++;</span></span>
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<span id="L69"><span class="lineNum"> 69</span> <span class="tlaGNC"> 354 : item_ant = item;</span></span>
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<span id="L68"><span class="lineNum"> 68</span> <span class="tlaGNC"> 198 : num++;</span></span>
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<span id="L69"><span class="lineNum"> 69</span> <span class="tlaGNC"> 198 : item_ant = item;</span></span>
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<span id="L70"><span class="lineNum"> 70</span> : }</span>
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<span id="L71"><span class="lineNum"> 71</span> : }</span>
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<span id="L72"><span class="lineNum"> 72</span> <span class="tlaGNC"> 118 : if (num == 5) {</span></span>
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<span id="L73"><span class="lineNum"> 73</span> <span class="tlaGNC"> 59 : return false;</span></span>
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<span id="L72"><span class="lineNum"> 72</span> <span class="tlaGNC"> 66 : if (num == 5) {</span></span>
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<span id="L73"><span class="lineNum"> 73</span> <span class="tlaGNC"> 33 : return false;</span></span>
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<span id="L74"><span class="lineNum"> 74</span> : }</span>
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<span id="L75"><span class="lineNum"> 75</span> <span class="tlaGNC"> 118 : }</span></span>
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<span id="L76"><span class="lineNum"> 76</span> <span class="tlaGNC"> 258 : return true;</span></span>
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<span id="L75"><span class="lineNum"> 75</span> <span class="tlaGNC"> 66 : }</span></span>
|
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<span id="L76"><span class="lineNum"> 76</span> <span class="tlaGNC"> 146 : return true;</span></span>
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<span id="L77"><span class="lineNum"> 77</span> : }</span>
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<span id="L78"><span class="lineNum"> 78</span> : }</span>
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</pre>
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@@ -37,12 +37,12 @@
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</tr>
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<tr>
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<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
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<td></td>
|
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<td class="headerItem">Functions:</td>
|
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<td class="headerCovTableEntryHi">100.0 %</td>
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<td class="headerCovTableEntry">3</td>
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<td class="headerCovTableEntry">3</td>
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<td class="headerCovTableEntry">2</td>
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<td class="headerCovTableEntry">2</td>
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</tr>
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<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
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</table>
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@@ -63,30 +63,16 @@
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</tr>
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<tr>
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<td class="coverFn"><a href="CFS.h.gcov.html#L14">_ZN8bayesnet3CFSC2ERKN2at6TensorERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISB_EERKSB_iiS4_</a></td>
|
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<td class="coverFn"><a href="CFS.h.gcov.html#L14">bayesnet::CFS::CFS(at::Tensor const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, int, at::Tensor const&)</a></td>
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<td class="coverFnHi">6</td>
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<td class="coverFnHi">26</td>
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</tr>
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<tr>
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<td class="coverFn"><a href="CFS.h.gcov.html#L18">_ZN8bayesnet3CFSD0Ev</a></td>
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<td class="coverFn"><a href="CFS.h.gcov.html#L18">bayesnet::CFS::~CFS()</a></td>
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<td class="coverFnHi">140</td>
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</tr>
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<tr>
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<td class="coverFnAlias"><a href="CFS.h.gcov.html#L18">_ZN8bayesnet3CFSD0Ev</a></td>
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<td class="coverFnAliasHi">70</td>
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</tr>
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<tr>
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<td class="coverFnAlias"><a href="CFS.h.gcov.html#L18">_ZN8bayesnet3CFSD2Ev</a></td>
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|
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<td class="coverFnAliasHi">70</td>
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<td class="coverFnHi">88</td>
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</tr>
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@@ -37,12 +37,12 @@
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</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
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<td></td>
|
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<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
@@ -63,30 +63,16 @@
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="CFS.h.gcov.html#L14">_ZN8bayesnet3CFSC2ERKN2at6TensorERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISB_EERKSB_iiS4_</a></td>
|
||||
<td class="coverFn"><a href="CFS.h.gcov.html#L14">bayesnet::CFS::CFS(at::Tensor const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, int, at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">6</td>
|
||||
<td class="coverFnHi">26</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="CFS.h.gcov.html#L18">_ZN8bayesnet3CFSD0Ev</a></td>
|
||||
<td class="coverFn"><a href="CFS.h.gcov.html#L18">bayesnet::CFS::~CFS()</a></td>
|
||||
|
||||
<td class="coverFnHi">140</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFnAlias"><a href="CFS.h.gcov.html#L18">_ZN8bayesnet3CFSD0Ev</a></td>
|
||||
|
||||
<td class="coverFnAliasHi">70</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFnAlias"><a href="CFS.h.gcov.html#L18">_ZN8bayesnet3CFSD2Ev</a></td>
|
||||
|
||||
<td class="coverFnAliasHi">70</td>
|
||||
<td class="coverFnHi">88</td>
|
||||
|
||||
|
||||
</tr>
|
||||
|
||||
@@ -37,12 +37,12 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
<td class="headerCovTableEntry">3</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
@@ -75,11 +75,11 @@
|
||||
<span id="L13"><span class="lineNum"> 13</span> : class CFS : public FeatureSelect {</span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> : public:</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> : // dataset is a n+1xm tensor of integers where dataset[-1] is the y std::vector</span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC tlaBgGNC"> 6 : CFS(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int maxFeatures, const int classNumStates, const torch::Tensor& weights) :</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 6 : FeatureSelect(samples, features, className, maxFeatures, classNumStates, weights)</span></span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC tlaBgGNC"> 26 : CFS(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int maxFeatures, const int classNumStates, const torch::Tensor& weights) :</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 26 : FeatureSelect(samples, features, className, maxFeatures, classNumStates, weights)</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> : {</span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 6 : }</span></span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 140 : virtual ~CFS() {};</span></span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 26 : }</span></span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 88 : virtual ~CFS() {};</span></span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> : void fit() override;</span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> : private:</span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> : bool computeContinueCondition(const std::vector<int>& featureOrder);</span>
|
||||
|
||||
@@ -37,7 +37,7 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
@@ -63,16 +63,16 @@
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FCBF.cc.gcov.html#L16">_ZN8bayesnet4FCBF3fitEv</a></td>
|
||||
<td class="coverFn"><a href="FCBF.cc.gcov.html#L16">bayesnet::FCBF::fit()</a></td>
|
||||
|
||||
<td class="coverFnHi">56</td>
|
||||
<td class="coverFnHi">34</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FCBF.cc.gcov.html#L9">_ZN8bayesnet4FCBFC2ERKN2at6TensorERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISB_EERKSB_iiS4_d</a></td>
|
||||
<td class="coverFn"><a href="FCBF.cc.gcov.html#L9">bayesnet::FCBF::FCBF(at::Tensor const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, int, at::Tensor const&, double)</a></td>
|
||||
|
||||
<td class="coverFnHi">78</td>
|
||||
<td class="coverFnHi">48</td>
|
||||
|
||||
|
||||
</tr>
|
||||
|
||||
@@ -37,7 +37,7 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
@@ -63,16 +63,16 @@
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FCBF.cc.gcov.html#L16">_ZN8bayesnet4FCBF3fitEv</a></td>
|
||||
<td class="coverFn"><a href="FCBF.cc.gcov.html#L9">bayesnet::FCBF::FCBF(at::Tensor const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, int, at::Tensor const&, double)</a></td>
|
||||
|
||||
<td class="coverFnHi">56</td>
|
||||
<td class="coverFnHi">48</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FCBF.cc.gcov.html#L9">_ZN8bayesnet4FCBFC2ERKN2at6TensorERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISB_EERKSB_iiS4_d</a></td>
|
||||
<td class="coverFn"><a href="FCBF.cc.gcov.html#L16">bayesnet::FCBF::fit()</a></td>
|
||||
|
||||
<td class="coverFnHi">78</td>
|
||||
<td class="coverFnHi">34</td>
|
||||
|
||||
|
||||
</tr>
|
||||
|
||||
@@ -37,7 +37,7 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
@@ -70,45 +70,45 @@
|
||||
<span id="L8"><span class="lineNum"> 8</span> : #include "FCBF.h"</span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : namespace bayesnet {</span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> : </span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC tlaBgGNC"> 78 : FCBF::FCBF(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int maxFeatures, const int classNumStates, const torch::Tensor& weights, const double threshold) :</span></span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> <span class="tlaGNC"> 78 : FeatureSelect(samples, features, className, maxFeatures, classNumStates, weights), threshold(threshold)</span></span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC tlaBgGNC"> 48 : FCBF::FCBF(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int maxFeatures, const int classNumStates, const torch::Tensor& weights, const double threshold) :</span></span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> <span class="tlaGNC"> 48 : FeatureSelect(samples, features, className, maxFeatures, classNumStates, weights), threshold(threshold)</span></span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> : {</span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 78 : if (threshold < 1e-7) {</span></span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 22 : throw std::invalid_argument("Threshold cannot be less than 1e-7");</span></span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 48 : if (threshold < 1e-7) {</span></span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 14 : throw std::invalid_argument("Threshold cannot be less than 1e-7");</span></span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> : }</span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 78 : }</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 56 : void FCBF::fit()</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 48 : }</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 34 : void FCBF::fit()</span></span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> : {</span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 56 : initialize();</span></span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 56 : computeSuLabels();</span></span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 56 : auto featureOrder = argsort(suLabels); // sort descending order</span></span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 56 : auto featureOrderCopy = featureOrder;</span></span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 472 : for (const auto& feature : featureOrder) {</span></span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 34 : initialize();</span></span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 34 : computeSuLabels();</span></span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 34 : auto featureOrder = argsort(suLabels); // sort descending order</span></span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 34 : auto featureOrderCopy = featureOrder;</span></span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> <span class="tlaGNC"> 284 : for (const auto& feature : featureOrder) {</span></span>
|
||||
<span id="L25"><span class="lineNum"> 25</span> : // Don't self compare</span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 416 : featureOrderCopy.erase(featureOrderCopy.begin());</span></span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 416 : if (suLabels.at(feature) == 0.0) {</span></span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 250 : featureOrderCopy.erase(featureOrderCopy.begin());</span></span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 250 : if (suLabels.at(feature) == 0.0) {</span></span>
|
||||
<span id="L28"><span class="lineNum"> 28</span> : // The feature has been removed from the list</span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 180 : continue;</span></span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 108 : continue;</span></span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> : }</span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 236 : if (suLabels.at(feature) < threshold) {</span></span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 142 : if (suLabels.at(feature) < threshold) {</span></span>
|
||||
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaUNC tlaBgUNC"> 0 : break;</span></span>
|
||||
<span id="L33"><span class="lineNum"> 33</span> : }</span>
|
||||
<span id="L34"><span class="lineNum"> 34</span> : // Remove redundant features</span>
|
||||
<span id="L35"><span class="lineNum"> 35</span> <span class="tlaGNC tlaBgGNC"> 1307 : for (const auto& featureCopy : featureOrderCopy) {</span></span>
|
||||
<span id="L36"><span class="lineNum"> 36</span> <span class="tlaGNC"> 1071 : double value = computeSuFeatures(feature, featureCopy);</span></span>
|
||||
<span id="L37"><span class="lineNum"> 37</span> <span class="tlaGNC"> 1071 : if (value >= suLabels.at(featureCopy)) {</span></span>
|
||||
<span id="L35"><span class="lineNum"> 35</span> <span class="tlaGNC tlaBgGNC"> 781 : for (const auto& featureCopy : featureOrderCopy) {</span></span>
|
||||
<span id="L36"><span class="lineNum"> 36</span> <span class="tlaGNC"> 639 : double value = computeSuFeatures(feature, featureCopy);</span></span>
|
||||
<span id="L37"><span class="lineNum"> 37</span> <span class="tlaGNC"> 639 : if (value >= suLabels.at(featureCopy)) {</span></span>
|
||||
<span id="L38"><span class="lineNum"> 38</span> : // Remove feature from list</span>
|
||||
<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 373 : suLabels[featureCopy] = 0.0;</span></span>
|
||||
<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 221 : suLabels[featureCopy] = 0.0;</span></span>
|
||||
<span id="L40"><span class="lineNum"> 40</span> : }</span>
|
||||
<span id="L41"><span class="lineNum"> 41</span> : }</span>
|
||||
<span id="L42"><span class="lineNum"> 42</span> <span class="tlaGNC"> 236 : selectedFeatures.push_back(feature);</span></span>
|
||||
<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 236 : selectedScores.push_back(suLabels[feature]);</span></span>
|
||||
<span id="L44"><span class="lineNum"> 44</span> <span class="tlaGNC"> 236 : if (selectedFeatures.size() == maxFeatures) {</span></span>
|
||||
<span id="L42"><span class="lineNum"> 42</span> <span class="tlaGNC"> 142 : selectedFeatures.push_back(feature);</span></span>
|
||||
<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 142 : selectedScores.push_back(suLabels[feature]);</span></span>
|
||||
<span id="L44"><span class="lineNum"> 44</span> <span class="tlaGNC"> 142 : if (selectedFeatures.size() == maxFeatures) {</span></span>
|
||||
<span id="L45"><span class="lineNum"> 45</span> <span class="tlaUNC tlaBgUNC"> 0 : break;</span></span>
|
||||
<span id="L46"><span class="lineNum"> 46</span> : }</span>
|
||||
<span id="L47"><span class="lineNum"> 47</span> : }</span>
|
||||
<span id="L48"><span class="lineNum"> 48</span> <span class="tlaGNC tlaBgGNC"> 56 : fitted = true;</span></span>
|
||||
<span id="L49"><span class="lineNum"> 49</span> <span class="tlaGNC"> 56 : }</span></span>
|
||||
<span id="L48"><span class="lineNum"> 48</span> <span class="tlaGNC tlaBgGNC"> 34 : fitted = true;</span></span>
|
||||
<span id="L49"><span class="lineNum"> 49</span> <span class="tlaGNC"> 34 : }</span></span>
|
||||
<span id="L50"><span class="lineNum"> 50</span> : }</span>
|
||||
</pre>
|
||||
</td>
|
||||
|
||||
@@ -37,12 +37,12 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
@@ -63,23 +63,9 @@
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FCBF.h.gcov.html#L15">_ZN8bayesnet4FCBFD0Ev</a></td>
|
||||
<td class="coverFn"><a href="FCBF.h.gcov.html#L15">bayesnet::FCBF::~FCBF()</a></td>
|
||||
|
||||
<td class="coverFnHi">10</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFnAlias"><a href="FCBF.h.gcov.html#L15">_ZN8bayesnet4FCBFD0Ev</a></td>
|
||||
|
||||
<td class="coverFnAliasHi">5</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFnAlias"><a href="FCBF.h.gcov.html#L15">_ZN8bayesnet4FCBFD2Ev</a></td>
|
||||
|
||||
<td class="coverFnAliasHi">5</td>
|
||||
<td class="coverFnHi">38</td>
|
||||
|
||||
|
||||
</tr>
|
||||
|
||||
@@ -37,12 +37,12 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
@@ -63,23 +63,9 @@
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FCBF.h.gcov.html#L15">_ZN8bayesnet4FCBFD0Ev</a></td>
|
||||
<td class="coverFn"><a href="FCBF.h.gcov.html#L15">bayesnet::FCBF::~FCBF()</a></td>
|
||||
|
||||
<td class="coverFnHi">10</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFnAlias"><a href="FCBF.h.gcov.html#L15">_ZN8bayesnet4FCBFD0Ev</a></td>
|
||||
|
||||
<td class="coverFnAliasHi">5</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFnAlias"><a href="FCBF.h.gcov.html#L15">_ZN8bayesnet4FCBFD2Ev</a></td>
|
||||
|
||||
<td class="coverFnAliasHi">5</td>
|
||||
<td class="coverFnHi">38</td>
|
||||
|
||||
|
||||
</tr>
|
||||
|
||||
@@ -37,12 +37,12 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
@@ -76,7 +76,7 @@
|
||||
<span id="L14"><span class="lineNum"> 14</span> : public:</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> : // dataset is a n+1xm tensor of integers where dataset[-1] is the y std::vector</span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> : FCBF(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int maxFeatures, const int classNumStates, const torch::Tensor& weights, const double threshold);</span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC tlaBgGNC"> 10 : virtual ~FCBF() {};</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC tlaBgGNC"> 38 : virtual ~FCBF() {};</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> : void fit() override;</span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> : private:</span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> : double threshold = -1;</span>
|
||||
|
||||
@@ -31,13 +31,13 @@
|
||||
<td class="headerValue">coverage.info</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">95.5 %</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">44</td>
|
||||
<td class="headerCovTableEntry">44</td>
|
||||
<td class="headerCovTableEntry">42</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
@@ -63,58 +63,58 @@
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L14">_ZN8bayesnet13FeatureSelect10initializeEv</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L34">bayesnet::FeatureSelect::computeSuLabels()</a></td>
|
||||
|
||||
<td class="coverFnHi">184</td>
|
||||
<td class="coverFnHi">108</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L34">_ZN8bayesnet13FeatureSelect15computeSuLabelsEv</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L14">bayesnet::FeatureSelect::initialize()</a></td>
|
||||
|
||||
<td class="coverFnHi">184</td>
|
||||
<td class="coverFnHi">108</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L68">_ZNK8bayesnet13FeatureSelect11getFeaturesEv</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L68">bayesnet::FeatureSelect::getFeatures() const</a></td>
|
||||
|
||||
<td class="coverFnHi">184</td>
|
||||
<td class="coverFnHi">116</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L75">_ZNK8bayesnet13FeatureSelect9getScoresEv</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L75">bayesnet::FeatureSelect::getScores() const</a></td>
|
||||
|
||||
<td class="coverFnHi">184</td>
|
||||
<td class="coverFnHi">116</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L9">_ZN8bayesnet13FeatureSelectC2ERKN2at6TensorERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISB_EERKSB_iiS4_</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L9">bayesnet::FeatureSelect::FeatureSelect(at::Tensor const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, int, at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">250</td>
|
||||
<td class="coverFnHi">154</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L55">_ZN8bayesnet13FeatureSelect15computeMeritCFSEv</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L55">bayesnet::FeatureSelect::computeMeritCFS()</a></td>
|
||||
|
||||
<td class="coverFnHi">1851</td>
|
||||
<td class="coverFnHi">1047</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L19">_ZN8bayesnet13FeatureSelect22symmetricalUncertaintyEii</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L19">bayesnet::FeatureSelect::symmetricalUncertainty(int, int)</a></td>
|
||||
|
||||
<td class="coverFnHi">5151</td>
|
||||
<td class="coverFnHi">2751</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L42">_ZN8bayesnet13FeatureSelect17computeSuFeaturesEii</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L42">bayesnet::FeatureSelect::computeSuFeatures(int, int)</a></td>
|
||||
|
||||
<td class="coverFnHi">11429</td>
|
||||
<td class="coverFnHi">6499</td>
|
||||
|
||||
|
||||
</tr>
|
||||
|
||||
@@ -31,13 +31,13 @@
|
||||
<td class="headerValue">coverage.info</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">95.5 %</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">44</td>
|
||||
<td class="headerCovTableEntry">44</td>
|
||||
<td class="headerCovTableEntry">42</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
@@ -63,58 +63,58 @@
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L14">_ZN8bayesnet13FeatureSelect10initializeEv</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L9">bayesnet::FeatureSelect::FeatureSelect(at::Tensor const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, int, at::Tensor const&)</a></td>
|
||||
|
||||
<td class="coverFnHi">184</td>
|
||||
<td class="coverFnHi">154</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L55">_ZN8bayesnet13FeatureSelect15computeMeritCFSEv</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L55">bayesnet::FeatureSelect::computeMeritCFS()</a></td>
|
||||
|
||||
<td class="coverFnHi">1851</td>
|
||||
<td class="coverFnHi">1047</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L34">_ZN8bayesnet13FeatureSelect15computeSuLabelsEv</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L42">bayesnet::FeatureSelect::computeSuFeatures(int, int)</a></td>
|
||||
|
||||
<td class="coverFnHi">184</td>
|
||||
<td class="coverFnHi">6499</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L42">_ZN8bayesnet13FeatureSelect17computeSuFeaturesEii</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L34">bayesnet::FeatureSelect::computeSuLabels()</a></td>
|
||||
|
||||
<td class="coverFnHi">11429</td>
|
||||
<td class="coverFnHi">108</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L19">_ZN8bayesnet13FeatureSelect22symmetricalUncertaintyEii</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L68">bayesnet::FeatureSelect::getFeatures() const</a></td>
|
||||
|
||||
<td class="coverFnHi">5151</td>
|
||||
<td class="coverFnHi">116</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L9">_ZN8bayesnet13FeatureSelectC2ERKN2at6TensorERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISB_EERKSB_iiS4_</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L75">bayesnet::FeatureSelect::getScores() const</a></td>
|
||||
|
||||
<td class="coverFnHi">250</td>
|
||||
<td class="coverFnHi">116</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L68">_ZNK8bayesnet13FeatureSelect11getFeaturesEv</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L14">bayesnet::FeatureSelect::initialize()</a></td>
|
||||
|
||||
<td class="coverFnHi">184</td>
|
||||
<td class="coverFnHi">108</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L75">_ZNK8bayesnet13FeatureSelect9getScoresEv</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.cc.gcov.html#L19">bayesnet::FeatureSelect::symmetricalUncertainty(int, int)</a></td>
|
||||
|
||||
<td class="coverFnHi">184</td>
|
||||
<td class="coverFnHi">2751</td>
|
||||
|
||||
|
||||
</tr>
|
||||
|
||||
@@ -31,13 +31,13 @@
|
||||
<td class="headerValue">coverage.info</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">95.5 %</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">44</td>
|
||||
<td class="headerCovTableEntry">44</td>
|
||||
<td class="headerCovTableEntry">42</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
@@ -70,17 +70,17 @@
|
||||
<span id="L8"><span class="lineNum"> 8</span> : #include "bayesnet/utils/bayesnetUtils.h"</span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : #include "FeatureSelect.h"</span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> : namespace bayesnet {</span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC tlaBgGNC"> 250 : FeatureSelect::FeatureSelect(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int maxFeatures, const int classNumStates, const torch::Tensor& weights) :</span></span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> <span class="tlaGNC"> 250 : Metrics(samples, features, className, classNumStates), maxFeatures(maxFeatures == 0 ? samples.size(0) - 1 : maxFeatures), weights(weights)</span></span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC tlaBgGNC"> 154 : FeatureSelect::FeatureSelect(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int maxFeatures, const int classNumStates, const torch::Tensor& weights) :</span></span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> <span class="tlaGNC"> 154 : Metrics(samples, features, className, classNumStates), maxFeatures(maxFeatures == 0 ? samples.size(0) - 1 : maxFeatures), weights(weights)</span></span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> : </span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> : {</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 250 : }</span></span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 184 : void FeatureSelect::initialize()</span></span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 154 : }</span></span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> <span class="tlaGNC"> 108 : void FeatureSelect::initialize()</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> : {</span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 184 : selectedFeatures.clear();</span></span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 184 : selectedScores.clear();</span></span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 184 : }</span></span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 5151 : double FeatureSelect::symmetricalUncertainty(int a, int b)</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 108 : selectedFeatures.clear();</span></span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> <span class="tlaGNC"> 108 : selectedScores.clear();</span></span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 108 : }</span></span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 2751 : double FeatureSelect::symmetricalUncertainty(int a, int b)</span></span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> : {</span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> : /*</span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> : Compute symmetrical uncertainty. Normalize* information gain (mutual</span>
|
||||
@@ -88,60 +88,60 @@
|
||||
<span id="L26"><span class="lineNum"> 26</span> : the bias due to high cardinality features. *Range [0, 1]</span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> : (https://www.sciencedirect.com/science/article/pii/S0020025519303603)</span>
|
||||
<span id="L28"><span class="lineNum"> 28</span> : */</span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 15453 : auto x = samples.index({ a, "..." });</span></span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> <span class="tlaGNC"> 15453 : auto y = samples.index({ b, "..." });</span></span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 5151 : auto mu = mutualInformation(x, y, weights);</span></span>
|
||||
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 5151 : auto hx = entropy(x, weights);</span></span>
|
||||
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 5151 : auto hy = entropy(y, weights);</span></span>
|
||||
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 5151 : return 2.0 * mu / (hx + hy);</span></span>
|
||||
<span id="L35"><span class="lineNum"> 35</span> <span class="tlaGNC"> 15453 : }</span></span>
|
||||
<span id="L36"><span class="lineNum"> 36</span> <span class="tlaGNC"> 184 : void FeatureSelect::computeSuLabels()</span></span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> <span class="tlaGNC"> 8253 : auto x = samples.index({ a, "..." });</span></span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> <span class="tlaGNC"> 8253 : auto y = samples.index({ b, "..." });</span></span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 2751 : auto mu = mutualInformation(x, y, weights);</span></span>
|
||||
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 2751 : auto hx = entropy(x, weights);</span></span>
|
||||
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 2751 : auto hy = entropy(y, weights);</span></span>
|
||||
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 2751 : return 2.0 * mu / (hx + hy);</span></span>
|
||||
<span id="L35"><span class="lineNum"> 35</span> <span class="tlaGNC"> 8253 : }</span></span>
|
||||
<span id="L36"><span class="lineNum"> 36</span> <span class="tlaGNC"> 108 : void FeatureSelect::computeSuLabels()</span></span>
|
||||
<span id="L37"><span class="lineNum"> 37</span> : {</span>
|
||||
<span id="L38"><span class="lineNum"> 38</span> : // Compute Simmetrical Uncertainty between features and labels</span>
|
||||
<span id="L39"><span class="lineNum"> 39</span> : // https://en.wikipedia.org/wiki/Symmetric_uncertainty</span>
|
||||
<span id="L40"><span class="lineNum"> 40</span> <span class="tlaGNC"> 1976 : for (int i = 0; i < features.size(); ++i) {</span></span>
|
||||
<span id="L41"><span class="lineNum"> 41</span> <span class="tlaGNC"> 1792 : suLabels.push_back(symmetricalUncertainty(i, -1));</span></span>
|
||||
<span id="L40"><span class="lineNum"> 40</span> <span class="tlaGNC"> 906 : for (int i = 0; i < features.size(); ++i) {</span></span>
|
||||
<span id="L41"><span class="lineNum"> 41</span> <span class="tlaGNC"> 798 : suLabels.push_back(symmetricalUncertainty(i, -1));</span></span>
|
||||
<span id="L42"><span class="lineNum"> 42</span> : }</span>
|
||||
<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 184 : }</span></span>
|
||||
<span id="L44"><span class="lineNum"> 44</span> <span class="tlaGNC"> 11429 : double FeatureSelect::computeSuFeatures(const int firstFeature, const int secondFeature)</span></span>
|
||||
<span id="L43"><span class="lineNum"> 43</span> <span class="tlaGNC"> 108 : }</span></span>
|
||||
<span id="L44"><span class="lineNum"> 44</span> <span class="tlaGNC"> 6499 : double FeatureSelect::computeSuFeatures(const int firstFeature, const int secondFeature)</span></span>
|
||||
<span id="L45"><span class="lineNum"> 45</span> : {</span>
|
||||
<span id="L46"><span class="lineNum"> 46</span> : // Compute Simmetrical Uncertainty between features</span>
|
||||
<span id="L47"><span class="lineNum"> 47</span> : // https://en.wikipedia.org/wiki/Symmetric_uncertainty</span>
|
||||
<span id="L48"><span class="lineNum"> 48</span> : try {</span>
|
||||
<span id="L49"><span class="lineNum"> 49</span> <span class="tlaGNC"> 11429 : return suFeatures.at({ firstFeature, secondFeature });</span></span>
|
||||
<span id="L49"><span class="lineNum"> 49</span> <span class="tlaGNC"> 6499 : return suFeatures.at({ firstFeature, secondFeature });</span></span>
|
||||
<span id="L50"><span class="lineNum"> 50</span> : }</span>
|
||||
<span id="L51"><span class="lineNum"> 51</span> <span class="tlaGNC"> 3359 : catch (const std::out_of_range& e) {</span></span>
|
||||
<span id="L52"><span class="lineNum"> 52</span> <span class="tlaGNC"> 3359 : double result = symmetricalUncertainty(firstFeature, secondFeature);</span></span>
|
||||
<span id="L53"><span class="lineNum"> 53</span> <span class="tlaGNC"> 3359 : suFeatures[{firstFeature, secondFeature}] = result;</span></span>
|
||||
<span id="L54"><span class="lineNum"> 54</span> <span class="tlaGNC"> 3359 : return result;</span></span>
|
||||
<span id="L55"><span class="lineNum"> 55</span> <span class="tlaGNC"> 3359 : }</span></span>
|
||||
<span id="L51"><span class="lineNum"> 51</span> <span class="tlaGNC"> 1953 : catch (const std::out_of_range& e) {</span></span>
|
||||
<span id="L52"><span class="lineNum"> 52</span> <span class="tlaGNC"> 1953 : double result = symmetricalUncertainty(firstFeature, secondFeature);</span></span>
|
||||
<span id="L53"><span class="lineNum"> 53</span> <span class="tlaGNC"> 1953 : suFeatures[{firstFeature, secondFeature}] = result;</span></span>
|
||||
<span id="L54"><span class="lineNum"> 54</span> <span class="tlaGNC"> 1953 : return result;</span></span>
|
||||
<span id="L55"><span class="lineNum"> 55</span> <span class="tlaGNC"> 1953 : }</span></span>
|
||||
<span id="L56"><span class="lineNum"> 56</span> : }</span>
|
||||
<span id="L57"><span class="lineNum"> 57</span> <span class="tlaGNC"> 1851 : double FeatureSelect::computeMeritCFS()</span></span>
|
||||
<span id="L57"><span class="lineNum"> 57</span> <span class="tlaGNC"> 1047 : double FeatureSelect::computeMeritCFS()</span></span>
|
||||
<span id="L58"><span class="lineNum"> 58</span> : {</span>
|
||||
<span id="L59"><span class="lineNum"> 59</span> <span class="tlaGNC"> 1851 : double rcf = 0;</span></span>
|
||||
<span id="L60"><span class="lineNum"> 60</span> <span class="tlaGNC"> 8514 : for (auto feature : selectedFeatures) {</span></span>
|
||||
<span id="L61"><span class="lineNum"> 61</span> <span class="tlaGNC"> 6663 : rcf += suLabels[feature];</span></span>
|
||||
<span id="L59"><span class="lineNum"> 59</span> <span class="tlaGNC"> 1047 : double rcf = 0;</span></span>
|
||||
<span id="L60"><span class="lineNum"> 60</span> <span class="tlaGNC"> 4816 : for (auto feature : selectedFeatures) {</span></span>
|
||||
<span id="L61"><span class="lineNum"> 61</span> <span class="tlaGNC"> 3769 : rcf += suLabels[feature];</span></span>
|
||||
<span id="L62"><span class="lineNum"> 62</span> : }</span>
|
||||
<span id="L63"><span class="lineNum"> 63</span> <span class="tlaGNC"> 1851 : double rff = 0;</span></span>
|
||||
<span id="L64"><span class="lineNum"> 64</span> <span class="tlaGNC"> 1851 : int n = selectedFeatures.size();</span></span>
|
||||
<span id="L65"><span class="lineNum"> 65</span> <span class="tlaGNC"> 12209 : for (const auto& item : doCombinations(selectedFeatures)) {</span></span>
|
||||
<span id="L66"><span class="lineNum"> 66</span> <span class="tlaGNC"> 10358 : rff += computeSuFeatures(item.first, item.second);</span></span>
|
||||
<span id="L67"><span class="lineNum"> 67</span> <span class="tlaGNC"> 1851 : }</span></span>
|
||||
<span id="L68"><span class="lineNum"> 68</span> <span class="tlaGNC"> 1851 : return rcf / sqrt(n + (n * n - n) * rff);</span></span>
|
||||
<span id="L63"><span class="lineNum"> 63</span> <span class="tlaGNC"> 1047 : double rff = 0;</span></span>
|
||||
<span id="L64"><span class="lineNum"> 64</span> <span class="tlaGNC"> 1047 : int n = selectedFeatures.size();</span></span>
|
||||
<span id="L65"><span class="lineNum"> 65</span> <span class="tlaGNC"> 6907 : for (const auto& item : doCombinations(selectedFeatures)) {</span></span>
|
||||
<span id="L66"><span class="lineNum"> 66</span> <span class="tlaGNC"> 5860 : rff += computeSuFeatures(item.first, item.second);</span></span>
|
||||
<span id="L67"><span class="lineNum"> 67</span> <span class="tlaGNC"> 1047 : }</span></span>
|
||||
<span id="L68"><span class="lineNum"> 68</span> <span class="tlaGNC"> 1047 : return rcf / sqrt(n + (n * n - n) * rff);</span></span>
|
||||
<span id="L69"><span class="lineNum"> 69</span> : }</span>
|
||||
<span id="L70"><span class="lineNum"> 70</span> <span class="tlaGNC"> 184 : std::vector<int> FeatureSelect::getFeatures() const</span></span>
|
||||
<span id="L70"><span class="lineNum"> 70</span> <span class="tlaGNC"> 116 : std::vector<int> FeatureSelect::getFeatures() const</span></span>
|
||||
<span id="L71"><span class="lineNum"> 71</span> : {</span>
|
||||
<span id="L72"><span class="lineNum"> 72</span> <span class="tlaGNC"> 184 : if (!fitted) {</span></span>
|
||||
<span id="L73"><span class="lineNum"> 73</span> <span class="tlaUNC tlaBgUNC"> 0 : throw std::runtime_error("FeatureSelect not fitted");</span></span>
|
||||
<span id="L72"><span class="lineNum"> 72</span> <span class="tlaGNC"> 116 : if (!fitted) {</span></span>
|
||||
<span id="L73"><span class="lineNum"> 73</span> <span class="tlaGNC"> 8 : throw std::runtime_error("FeatureSelect not fitted");</span></span>
|
||||
<span id="L74"><span class="lineNum"> 74</span> : }</span>
|
||||
<span id="L75"><span class="lineNum"> 75</span> <span class="tlaGNC tlaBgGNC"> 184 : return selectedFeatures;</span></span>
|
||||
<span id="L75"><span class="lineNum"> 75</span> <span class="tlaGNC"> 108 : return selectedFeatures;</span></span>
|
||||
<span id="L76"><span class="lineNum"> 76</span> : }</span>
|
||||
<span id="L77"><span class="lineNum"> 77</span> <span class="tlaGNC"> 184 : std::vector<double> FeatureSelect::getScores() const</span></span>
|
||||
<span id="L77"><span class="lineNum"> 77</span> <span class="tlaGNC"> 116 : std::vector<double> FeatureSelect::getScores() const</span></span>
|
||||
<span id="L78"><span class="lineNum"> 78</span> : {</span>
|
||||
<span id="L79"><span class="lineNum"> 79</span> <span class="tlaGNC"> 184 : if (!fitted) {</span></span>
|
||||
<span id="L80"><span class="lineNum"> 80</span> <span class="tlaUNC tlaBgUNC"> 0 : throw std::runtime_error("FeatureSelect not fitted");</span></span>
|
||||
<span id="L79"><span class="lineNum"> 79</span> <span class="tlaGNC"> 116 : if (!fitted) {</span></span>
|
||||
<span id="L80"><span class="lineNum"> 80</span> <span class="tlaGNC"> 8 : throw std::runtime_error("FeatureSelect not fitted");</span></span>
|
||||
<span id="L81"><span class="lineNum"> 81</span> : }</span>
|
||||
<span id="L82"><span class="lineNum"> 82</span> <span class="tlaGNC tlaBgGNC"> 184 : return selectedScores;</span></span>
|
||||
<span id="L82"><span class="lineNum"> 82</span> <span class="tlaGNC"> 108 : return selectedScores;</span></span>
|
||||
<span id="L83"><span class="lineNum"> 83</span> : }</span>
|
||||
<span id="L84"><span class="lineNum"> 84</span> : }</span>
|
||||
</pre>
|
||||
|
||||
@@ -37,11 +37,11 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryLo">50.0 %</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
@@ -63,23 +63,9 @@
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.h.gcov.html#L15">_ZN8bayesnet13FeatureSelectD0Ev</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.h.gcov.html#L15">bayesnet::FeatureSelect::~FeatureSelect()</a></td>
|
||||
|
||||
<td class="coverFnHi">22</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFnAlias"><a href="FeatureSelect.h.gcov.html#L15">_ZN8bayesnet13FeatureSelectD0Ev</a></td>
|
||||
|
||||
<td class="coverFnAliasLo">0</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFnAlias"><a href="FeatureSelect.h.gcov.html#L15">_ZN8bayesnet13FeatureSelectD2Ev</a></td>
|
||||
|
||||
<td class="coverFnAliasHi">22</td>
|
||||
<td class="coverFnHi">88</td>
|
||||
|
||||
|
||||
</tr>
|
||||
|
||||
@@ -37,11 +37,11 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryLo">50.0 %</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
@@ -63,23 +63,9 @@
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="FeatureSelect.h.gcov.html#L15">_ZN8bayesnet13FeatureSelectD0Ev</a></td>
|
||||
<td class="coverFn"><a href="FeatureSelect.h.gcov.html#L15">bayesnet::FeatureSelect::~FeatureSelect()</a></td>
|
||||
|
||||
<td class="coverFnHi">22</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFnAlias"><a href="FeatureSelect.h.gcov.html#L15">_ZN8bayesnet13FeatureSelectD0Ev</a></td>
|
||||
|
||||
<td class="coverFnAliasLo">0</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFnAlias"><a href="FeatureSelect.h.gcov.html#L15">_ZN8bayesnet13FeatureSelectD2Ev</a></td>
|
||||
|
||||
<td class="coverFnAliasHi">22</td>
|
||||
<td class="coverFnHi">88</td>
|
||||
|
||||
|
||||
</tr>
|
||||
|
||||
@@ -37,11 +37,11 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryLo">50.0 %</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
@@ -76,7 +76,7 @@
|
||||
<span id="L14"><span class="lineNum"> 14</span> : public:</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> : // dataset is a n+1xm tensor of integers where dataset[-1] is the y std::vector</span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> : FeatureSelect(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int maxFeatures, const int classNumStates, const torch::Tensor& weights);</span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC tlaBgGNC"> 22 : virtual ~FeatureSelect() {};</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC tlaBgGNC"> 88 : virtual ~FeatureSelect() {};</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> : virtual void fit() = 0;</span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> : std::vector<int> getFeatures() const;</span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> : std::vector<double> getScores() const;</span>
|
||||
|
||||
@@ -37,7 +37,7 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
@@ -63,16 +63,16 @@
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="IWSS.cc.gcov.html#L16">_ZN8bayesnet4IWSS3fitEv</a></td>
|
||||
<td class="coverFn"><a href="IWSS.cc.gcov.html#L16">bayesnet::IWSS::fit()</a></td>
|
||||
|
||||
<td class="coverFnHi">58</td>
|
||||
<td class="coverFnHi">34</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="IWSS.cc.gcov.html#L9">_ZN8bayesnet4IWSSC2ERKN2at6TensorERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISB_EERKSB_iiS4_d</a></td>
|
||||
<td class="coverFn"><a href="IWSS.cc.gcov.html#L9">bayesnet::IWSS::IWSS(at::Tensor const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, int, at::Tensor const&, double)</a></td>
|
||||
|
||||
<td class="coverFnHi">102</td>
|
||||
<td class="coverFnHi">62</td>
|
||||
|
||||
|
||||
</tr>
|
||||
|
||||
@@ -37,7 +37,7 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
@@ -63,16 +63,16 @@
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="IWSS.cc.gcov.html#L16">_ZN8bayesnet4IWSS3fitEv</a></td>
|
||||
<td class="coverFn"><a href="IWSS.cc.gcov.html#L9">bayesnet::IWSS::IWSS(at::Tensor const&, std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, int, at::Tensor const&, double)</a></td>
|
||||
|
||||
<td class="coverFnHi">58</td>
|
||||
<td class="coverFnHi">62</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="IWSS.cc.gcov.html#L9">_ZN8bayesnet4IWSSC2ERKN2at6TensorERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISB_EERKSB_iiS4_d</a></td>
|
||||
<td class="coverFn"><a href="IWSS.cc.gcov.html#L16">bayesnet::IWSS::fit()</a></td>
|
||||
|
||||
<td class="coverFnHi">102</td>
|
||||
<td class="coverFnHi">34</td>
|
||||
|
||||
|
||||
</tr>
|
||||
|
||||
@@ -37,7 +37,7 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
@@ -70,48 +70,48 @@
|
||||
<span id="L8"><span class="lineNum"> 8</span> : #include "bayesnet/utils/bayesnetUtils.h"</span>
|
||||
<span id="L9"><span class="lineNum"> 9</span> : #include "IWSS.h"</span>
|
||||
<span id="L10"><span class="lineNum"> 10</span> : namespace bayesnet {</span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC tlaBgGNC"> 102 : IWSS::IWSS(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int maxFeatures, const int classNumStates, const torch::Tensor& weights, const double threshold) :</span></span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> <span class="tlaGNC"> 102 : FeatureSelect(samples, features, className, maxFeatures, classNumStates, weights), threshold(threshold)</span></span>
|
||||
<span id="L11"><span class="lineNum"> 11</span> <span class="tlaGNC tlaBgGNC"> 62 : IWSS::IWSS(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int maxFeatures, const int classNumStates, const torch::Tensor& weights, const double threshold) :</span></span>
|
||||
<span id="L12"><span class="lineNum"> 12</span> <span class="tlaGNC"> 62 : FeatureSelect(samples, features, className, maxFeatures, classNumStates, weights), threshold(threshold)</span></span>
|
||||
<span id="L13"><span class="lineNum"> 13</span> : {</span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 102 : if (threshold < 0 || threshold > .5) {</span></span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 44 : throw std::invalid_argument("Threshold has to be in [0, 0.5]");</span></span>
|
||||
<span id="L14"><span class="lineNum"> 14</span> <span class="tlaGNC"> 62 : if (threshold < 0 || threshold > .5) {</span></span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> <span class="tlaGNC"> 28 : throw std::invalid_argument("Threshold has to be in [0, 0.5]");</span></span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> : }</span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 102 : }</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 58 : void IWSS::fit()</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC"> 62 : }</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> <span class="tlaGNC"> 34 : void IWSS::fit()</span></span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> : {</span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 58 : initialize();</span></span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 58 : computeSuLabels();</span></span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 58 : auto featureOrder = argsort(suLabels); // sort descending order</span></span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 58 : auto featureOrderCopy = featureOrder;</span></span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> <span class="tlaGNC"> 34 : initialize();</span></span>
|
||||
<span id="L21"><span class="lineNum"> 21</span> <span class="tlaGNC"> 34 : computeSuLabels();</span></span>
|
||||
<span id="L22"><span class="lineNum"> 22</span> <span class="tlaGNC"> 34 : auto featureOrder = argsort(suLabels); // sort descending order</span></span>
|
||||
<span id="L23"><span class="lineNum"> 23</span> <span class="tlaGNC"> 34 : auto featureOrderCopy = featureOrder;</span></span>
|
||||
<span id="L24"><span class="lineNum"> 24</span> : // Add first and second features to result</span>
|
||||
<span id="L25"><span class="lineNum"> 25</span> : // First with its own score</span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 58 : auto first_feature = pop_first(featureOrderCopy);</span></span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 58 : selectedFeatures.push_back(first_feature);</span></span>
|
||||
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 58 : selectedScores.push_back(suLabels.at(first_feature));</span></span>
|
||||
<span id="L26"><span class="lineNum"> 26</span> <span class="tlaGNC"> 34 : auto first_feature = pop_first(featureOrderCopy);</span></span>
|
||||
<span id="L27"><span class="lineNum"> 27</span> <span class="tlaGNC"> 34 : selectedFeatures.push_back(first_feature);</span></span>
|
||||
<span id="L28"><span class="lineNum"> 28</span> <span class="tlaGNC"> 34 : selectedScores.push_back(suLabels.at(first_feature));</span></span>
|
||||
<span id="L29"><span class="lineNum"> 29</span> : // Second with the score of the candidates</span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> <span class="tlaGNC"> 58 : selectedFeatures.push_back(pop_first(featureOrderCopy));</span></span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 58 : auto merit = computeMeritCFS();</span></span>
|
||||
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 58 : selectedScores.push_back(merit);</span></span>
|
||||
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 192 : for (const auto feature : featureOrderCopy) {</span></span>
|
||||
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 192 : selectedFeatures.push_back(feature);</span></span>
|
||||
<span id="L30"><span class="lineNum"> 30</span> <span class="tlaGNC"> 34 : selectedFeatures.push_back(pop_first(featureOrderCopy));</span></span>
|
||||
<span id="L31"><span class="lineNum"> 31</span> <span class="tlaGNC"> 34 : auto merit = computeMeritCFS();</span></span>
|
||||
<span id="L32"><span class="lineNum"> 32</span> <span class="tlaGNC"> 34 : selectedScores.push_back(merit);</span></span>
|
||||
<span id="L33"><span class="lineNum"> 33</span> <span class="tlaGNC"> 116 : for (const auto feature : featureOrderCopy) {</span></span>
|
||||
<span id="L34"><span class="lineNum"> 34</span> <span class="tlaGNC"> 116 : selectedFeatures.push_back(feature);</span></span>
|
||||
<span id="L35"><span class="lineNum"> 35</span> : // Compute merit with selectedFeatures</span>
|
||||
<span id="L36"><span class="lineNum"> 36</span> <span class="tlaGNC"> 192 : auto meritNew = computeMeritCFS();</span></span>
|
||||
<span id="L37"><span class="lineNum"> 37</span> <span class="tlaGNC"> 192 : double delta = merit != 0.0 ? std::abs(merit - meritNew) / merit : 0.0;</span></span>
|
||||
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 192 : if (meritNew > merit || delta < threshold) {</span></span>
|
||||
<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 134 : if (meritNew > merit) {</span></span>
|
||||
<span id="L36"><span class="lineNum"> 36</span> <span class="tlaGNC"> 116 : auto meritNew = computeMeritCFS();</span></span>
|
||||
<span id="L37"><span class="lineNum"> 37</span> <span class="tlaGNC"> 116 : double delta = merit != 0.0 ? std::abs(merit - meritNew) / merit : 0.0;</span></span>
|
||||
<span id="L38"><span class="lineNum"> 38</span> <span class="tlaGNC"> 116 : if (meritNew > merit || delta < threshold) {</span></span>
|
||||
<span id="L39"><span class="lineNum"> 39</span> <span class="tlaGNC"> 82 : if (meritNew > merit) {</span></span>
|
||||
<span id="L40"><span class="lineNum"> 40</span> <span class="tlaUNC tlaBgUNC"> 0 : merit = meritNew;</span></span>
|
||||
<span id="L41"><span class="lineNum"> 41</span> : }</span>
|
||||
<span id="L42"><span class="lineNum"> 42</span> <span class="tlaGNC tlaBgGNC"> 134 : selectedScores.push_back(meritNew);</span></span>
|
||||
<span id="L42"><span class="lineNum"> 42</span> <span class="tlaGNC tlaBgGNC"> 82 : selectedScores.push_back(meritNew);</span></span>
|
||||
<span id="L43"><span class="lineNum"> 43</span> : } else {</span>
|
||||
<span id="L44"><span class="lineNum"> 44</span> <span class="tlaGNC"> 58 : selectedFeatures.pop_back();</span></span>
|
||||
<span id="L45"><span class="lineNum"> 45</span> <span class="tlaGNC"> 58 : break;</span></span>
|
||||
<span id="L44"><span class="lineNum"> 44</span> <span class="tlaGNC"> 34 : selectedFeatures.pop_back();</span></span>
|
||||
<span id="L45"><span class="lineNum"> 45</span> <span class="tlaGNC"> 34 : break;</span></span>
|
||||
<span id="L46"><span class="lineNum"> 46</span> : }</span>
|
||||
<span id="L47"><span class="lineNum"> 47</span> <span class="tlaGNC"> 134 : if (selectedFeatures.size() == maxFeatures) {</span></span>
|
||||
<span id="L47"><span class="lineNum"> 47</span> <span class="tlaGNC"> 82 : if (selectedFeatures.size() == maxFeatures) {</span></span>
|
||||
<span id="L48"><span class="lineNum"> 48</span> <span class="tlaUNC tlaBgUNC"> 0 : break;</span></span>
|
||||
<span id="L49"><span class="lineNum"> 49</span> : }</span>
|
||||
<span id="L50"><span class="lineNum"> 50</span> : }</span>
|
||||
<span id="L51"><span class="lineNum"> 51</span> <span class="tlaGNC tlaBgGNC"> 58 : fitted = true;</span></span>
|
||||
<span id="L52"><span class="lineNum"> 52</span> <span class="tlaGNC"> 58 : }</span></span>
|
||||
<span id="L51"><span class="lineNum"> 51</span> <span class="tlaGNC tlaBgGNC"> 34 : fitted = true;</span></span>
|
||||
<span id="L52"><span class="lineNum"> 52</span> <span class="tlaGNC"> 34 : }</span></span>
|
||||
<span id="L53"><span class="lineNum"> 53</span> : }</span>
|
||||
</pre>
|
||||
</td>
|
||||
|
||||
@@ -37,12 +37,12 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
@@ -63,23 +63,9 @@
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="IWSS.h.gcov.html#L15">_ZN8bayesnet4IWSSD0Ev</a></td>
|
||||
<td class="coverFn"><a href="IWSS.h.gcov.html#L15">bayesnet::IWSS::~IWSS()</a></td>
|
||||
|
||||
<td class="coverFnHi">10</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFnAlias"><a href="IWSS.h.gcov.html#L15">_ZN8bayesnet4IWSSD0Ev</a></td>
|
||||
|
||||
<td class="coverFnAliasHi">5</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFnAlias"><a href="IWSS.h.gcov.html#L15">_ZN8bayesnet4IWSSD2Ev</a></td>
|
||||
|
||||
<td class="coverFnAliasHi">5</td>
|
||||
<td class="coverFnHi">38</td>
|
||||
|
||||
|
||||
</tr>
|
||||
|
||||
@@ -37,12 +37,12 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
@@ -63,23 +63,9 @@
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFn"><a href="IWSS.h.gcov.html#L15">_ZN8bayesnet4IWSSD0Ev</a></td>
|
||||
<td class="coverFn"><a href="IWSS.h.gcov.html#L15">bayesnet::IWSS::~IWSS()</a></td>
|
||||
|
||||
<td class="coverFnHi">10</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFnAlias"><a href="IWSS.h.gcov.html#L15">_ZN8bayesnet4IWSSD0Ev</a></td>
|
||||
|
||||
<td class="coverFnAliasHi">5</td>
|
||||
|
||||
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFnAlias"><a href="IWSS.h.gcov.html#L15">_ZN8bayesnet4IWSSD2Ev</a></td>
|
||||
|
||||
<td class="coverFnAliasHi">5</td>
|
||||
<td class="coverFnHi">38</td>
|
||||
|
||||
|
||||
</tr>
|
||||
|
||||
@@ -37,12 +37,12 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntry">2</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
<td class="headerCovTableEntry">1</td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
@@ -76,7 +76,7 @@
|
||||
<span id="L14"><span class="lineNum"> 14</span> : public:</span>
|
||||
<span id="L15"><span class="lineNum"> 15</span> : // dataset is a n+1xm tensor of integers where dataset[-1] is the y std::vector</span>
|
||||
<span id="L16"><span class="lineNum"> 16</span> : IWSS(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int maxFeatures, const int classNumStates, const torch::Tensor& weights, const double threshold);</span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC tlaBgGNC"> 10 : virtual ~IWSS() {};</span></span>
|
||||
<span id="L17"><span class="lineNum"> 17</span> <span class="tlaGNC tlaBgGNC"> 38 : virtual ~IWSS() {};</span></span>
|
||||
<span id="L18"><span class="lineNum"> 18</span> : void fit() override;</span>
|
||||
<span id="L19"><span class="lineNum"> 19</span> : private:</span>
|
||||
<span id="L20"><span class="lineNum"> 20</span> : double threshold = -1;</span>
|
||||
|
||||
@@ -31,18 +31,18 @@
|
||||
<td class="headerValue">coverage.info</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">95.4 %</td>
|
||||
<td class="headerCovTableEntryHi">96.7 %</td>
|
||||
<td class="headerCovTableEntry">152</td>
|
||||
<td class="headerCovTableEntry">145</td>
|
||||
<td class="headerCovTableEntry">147</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">95.7 %</td>
|
||||
<td class="headerCovTableEntry">23</td>
|
||||
<td class="headerCovTableEntry">22</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">19</td>
|
||||
<td class="headerCovTableEntry">19</td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
@@ -79,6 +79,18 @@
|
||||
<td class="tableHead"> Total</td>
|
||||
<td class="tableHead"> Hit</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="FCBF.h.gcov.html">FCBF.h</a></td>
|
||||
<td class="coverBar" align="center">
|
||||
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
|
||||
</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="FeatureSelect.h.gcov.html">FeatureSelect.h</a></td>
|
||||
<td class="coverBar" align="center">
|
||||
@@ -87,8 +99,20 @@
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverPerLo">50.0 %</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="IWSS.h.gcov.html">IWSS.h</a></td>
|
||||
<td class="coverBar" align="center">
|
||||
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
|
||||
</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
@@ -103,6 +127,18 @@
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="CFS.h.gcov.html">CFS.h</a></td>
|
||||
<td class="coverBar" align="center">
|
||||
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
|
||||
</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">4</td>
|
||||
<td class="coverNumDflt">4</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="FCBF.cc.gcov.html">FCBF.cc</a></td>
|
||||
<td class="coverBar" align="center">
|
||||
@@ -115,18 +151,6 @@
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="FCBF.h.gcov.html">FCBF.h</a></td>
|
||||
<td class="coverBar" align="center">
|
||||
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
|
||||
</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="IWSS.cc.gcov.html">IWSS.cc</a></td>
|
||||
<td class="coverBar" align="center">
|
||||
@@ -139,38 +163,14 @@
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="IWSS.h.gcov.html">IWSS.h</a></td>
|
||||
<td class="coverBar" align="center">
|
||||
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
|
||||
</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="CFS.h.gcov.html">CFS.h</a></td>
|
||||
<td class="coverBar" align="center">
|
||||
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
|
||||
</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">4</td>
|
||||
<td class="coverNumDflt">4</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">3</td>
|
||||
<td class="coverNumDflt">3</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="FeatureSelect.cc.gcov.html">FeatureSelect.cc</a></td>
|
||||
<td class="coverBar" align="center">
|
||||
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=95 height=10 alt="95.5%"><img src="../../snow.png" width=5 height=10 alt="95.5%"></td></tr></table>
|
||||
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
|
||||
</td>
|
||||
<td class="coverPerHi">95.5 %</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">44</td>
|
||||
<td class="coverNumDflt">44</td>
|
||||
<td class="coverNumDflt">42</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">8</td>
|
||||
<td class="coverNumDflt">8</td>
|
||||
|
||||
@@ -31,18 +31,18 @@
|
||||
<td class="headerValue">coverage.info</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">95.4 %</td>
|
||||
<td class="headerCovTableEntryHi">96.7 %</td>
|
||||
<td class="headerCovTableEntry">152</td>
|
||||
<td class="headerCovTableEntry">145</td>
|
||||
<td class="headerCovTableEntry">147</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">95.7 %</td>
|
||||
<td class="headerCovTableEntry">23</td>
|
||||
<td class="headerCovTableEntry">22</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">19</td>
|
||||
<td class="headerCovTableEntry">19</td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
@@ -103,18 +103,6 @@
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="FeatureSelect.cc.gcov.html">FeatureSelect.cc</a></td>
|
||||
<td class="coverBar" align="center">
|
||||
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=95 height=10 alt="95.5%"><img src="../../snow.png" width=5 height=10 alt="95.5%"></td></tr></table>
|
||||
</td>
|
||||
<td class="coverPerHi">95.5 %</td>
|
||||
<td class="coverNumDflt">44</td>
|
||||
<td class="coverNumDflt">42</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">8</td>
|
||||
<td class="coverNumDflt">8</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="CFS.cc.gcov.html">CFS.cc</a></td>
|
||||
<td class="coverBar" align="center">
|
||||
@@ -136,8 +124,8 @@
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="FeatureSelect.h.gcov.html">FeatureSelect.h</a></td>
|
||||
@@ -147,8 +135,8 @@
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverPerLo">50.0 %</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
@@ -160,8 +148,8 @@
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="CFS.h.gcov.html">CFS.h</a></td>
|
||||
@@ -172,8 +160,20 @@
|
||||
<td class="coverNumDflt">4</td>
|
||||
<td class="coverNumDflt">4</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">3</td>
|
||||
<td class="coverNumDflt">3</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="FeatureSelect.cc.gcov.html">FeatureSelect.cc</a></td>
|
||||
<td class="coverBar" align="center">
|
||||
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
|
||||
</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">44</td>
|
||||
<td class="coverNumDflt">44</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">8</td>
|
||||
<td class="coverNumDflt">8</td>
|
||||
</tr>
|
||||
</table>
|
||||
</center>
|
||||
|
||||
@@ -31,18 +31,18 @@
|
||||
<td class="headerValue">coverage.info</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Lines:</td>
|
||||
<td class="headerCovTableEntryHi">95.4 %</td>
|
||||
<td class="headerCovTableEntryHi">96.7 %</td>
|
||||
<td class="headerCovTableEntry">152</td>
|
||||
<td class="headerCovTableEntry">145</td>
|
||||
<td class="headerCovTableEntry">147</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="headerItem">Test Date:</td>
|
||||
<td class="headerValue">2024-04-29 20:48:03</td>
|
||||
<td class="headerValue">2024-04-30 13:59:18</td>
|
||||
<td></td>
|
||||
<td class="headerItem">Functions:</td>
|
||||
<td class="headerCovTableEntryHi">95.7 %</td>
|
||||
<td class="headerCovTableEntry">23</td>
|
||||
<td class="headerCovTableEntry">22</td>
|
||||
<td class="headerCovTableEntryHi">100.0 %</td>
|
||||
<td class="headerCovTableEntry">19</td>
|
||||
<td class="headerCovTableEntry">19</td>
|
||||
</tr>
|
||||
<tr><td><img src="../../glass.png" width=3 height=3 alt=""></td></tr>
|
||||
</table>
|
||||
@@ -100,8 +100,8 @@
|
||||
<td class="coverNumDflt">4</td>
|
||||
<td class="coverNumDflt">4</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">3</td>
|
||||
<td class="coverNumDflt">3</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="FCBF.cc.gcov.html">FCBF.cc</a></td>
|
||||
@@ -124,17 +124,17 @@
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="coverFile"><a href="FeatureSelect.cc.gcov.html">FeatureSelect.cc</a></td>
|
||||
<td class="coverBar" align="center">
|
||||
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=95 height=10 alt="95.5%"><img src="../../snow.png" width=5 height=10 alt="95.5%"></td></tr></table>
|
||||
<table border=0 cellspacing=0 cellpadding=1><tr><td class="coverBarOutline"><img src="../../emerald.png" width=100 height=10 alt="100.0%"></td></tr></table>
|
||||
</td>
|
||||
<td class="coverPerHi">95.5 %</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">44</td>
|
||||
<td class="coverNumDflt">44</td>
|
||||
<td class="coverNumDflt">42</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">8</td>
|
||||
<td class="coverNumDflt">8</td>
|
||||
@@ -147,8 +147,8 @@
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverPerLo">50.0 %</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
</tr>
|
||||
<tr>
|
||||
@@ -172,8 +172,8 @@
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverPerHi">100.0 %</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">2</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
<td class="coverNumDflt">1</td>
|
||||
</tr>
|
||||
</table>
|
||||
</center>
|
||||
|
||||
Reference in New Issue
Block a user