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Enhance tests coverage and report output

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Ricardo Montañana Gómez
2024-04-30 14:00:24 +02:00
parent b4a222b100
commit 3c7382a93a
947 changed files with 376596 additions and 3921 deletions
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14
html/bayesnet/feature_selection/CFS.h.gcov.html
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@@ -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&nbsp;%</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&amp; samples, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, const int maxFeatures, const int classNumStates, const torch::Tensor&amp; 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&amp; samples, const std::vector&lt;std::string&gt;&amp; features, const std::string&amp; className, const int maxFeatures, const int classNumStates, const torch::Tensor&amp; 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&lt;int&gt;&amp; featureOrder);</span>