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Return File Library to /lib as it is needed by Local Discretization (factorize)

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Ricardo Montañana Gómez
2024-04-30 20:31:14 +02:00
parent 7aeffba740
commit 618a1e539c
148 changed files with 1804 additions and 1769 deletions
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18
html/bayesnet/classifiers/Proposal.cc.func.html
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@@ -37,7 +37,7 @@
</tr>
<tr>
<td class="headerItem">Test Date:</td>
<td class="headerValue">2024-04-30 13:59:18</td>
<td class="headerValue">2024-04-30 20:26:57</td>
<td></td>
<td class="headerItem">Functions:</td>
<td class="headerCovTableEntryHi">100.0&nbsp;%</td>
@@ -65,56 +65,56 @@
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L41">auto bayesnet::Proposal::localDiscretizationProposal(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, bayesnet::Network&amp;)::{lambda(auto:1 const&amp;)#1}::operator()&lt;bayesnet::Node*&gt;(bayesnet::Node* const&amp;) const</a></td>
<td class="coverFnHi">4044</td>
<td class="coverFnHi">1348</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L47">auto bayesnet::Proposal::localDiscretizationProposal(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, bayesnet::Network&amp;)::{lambda(auto:1 const&amp;)#2}::operator()&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;(std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const&amp;) const</a></td>
<td class="coverFnHi">2058</td>
<td class="coverFnHi">686</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L9">bayesnet::Proposal::Proposal(at::Tensor&amp;, std::vector&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::allocator&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt; &gt;&amp;, std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;&amp;)</a></td>
<td class="coverFnHi">636</td>
<td class="coverFnHi">212</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L16">bayesnet::Proposal::checkInput(at::Tensor const&amp;, at::Tensor const&amp;)</a></td>
<td class="coverFnHi">342</td>
<td class="coverFnHi">114</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L77">bayesnet::Proposal::fit_local_discretization[abi:cxx11](at::Tensor const&amp;)</a></td>
<td class="coverFnHi">348</td>
<td class="coverFnHi">116</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L25">bayesnet::Proposal::localDiscretizationProposal(std::map&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt;, std::vector&lt;int, std::allocator&lt;int&gt; &gt;, std::less&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; &gt;, std::allocator&lt;std::pair&lt;std::__cxx11::basic_string&lt;char, std::char_traits&lt;char&gt;, std::allocator&lt;char&gt; &gt; const, std::vector&lt;int, std::allocator&lt;int&gt; &gt; &gt; &gt; &gt; const&amp;, bayesnet::Network&amp;)</a></td>
<td class="coverFnHi">318</td>
<td class="coverFnHi">106</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L104">bayesnet::Proposal::prepareX(at::Tensor&amp;)</a></td>
<td class="coverFnHi">252</td>
<td class="coverFnHi">84</td>
</tr>
<tr>
<td class="coverFn"><a href="Proposal.cc.gcov.html#L10">bayesnet::Proposal::~Proposal()</a></td>
<td class="coverFnHi">300</td>
<td class="coverFnHi">100</td>
</tr>