Preparing for version 1.0.5.1

CHANGELOG.md

@@ -4,6 +4,12 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [1.0.5.1] - 2024-05-20
+
+### Fixed
+
+- Fixed bugs in `artificial_ssl_dataset`, now support again pandas DataFrame and y_unlabeled returns the right values
+
 ## [1.0.5] - 2024-05-08
 
 ### Added

docs/sslearn.html

@@ -61,6 +61,7 @@ <h2>Submodules</h2>
                     <li><a href="sslearn/base.html">base</a></li>
                     <li><a href="sslearn/datasets.html">datasets</a></li>
                     <li><a href="sslearn/model_selection.html">model_selection</a></li>
+                    <li><a href="sslearn/restricted (Copia en conflicto de CROSS-PC 2024-05-14).html">restricted (Copia en conflicto de CROSS-PC 2024-05-14)</a></li>
                     <li><a href="sslearn/restricted.html">restricted</a></li>
                     <li><a href="sslearn/subview.html">subview</a></li>
                     <li><a href="sslearn/utils.html">utils</a></li>
@@ -162,7 +163,7 @@ <h2 id="citing">Citing</h2>
 </span><span id="L-10"><a href="#L-10"><span class="linenos">10</span></a>    <span class="vm">__doc__</span> <span class="o">=</span> <span class="s2">&quot;Semi-Supervised Learning (SSL) is a Python package that provides tools to train and evaluate semi-supervised learning models.&quot;</span>
 </span><span id="L-11"><a href="#L-11"><span class="linenos">11</span></a>
 </span><span id="L-12"><a href="#L-12"><span class="linenos">12</span></a>
-</span><span id="L-13"><a href="#L-13"><span class="linenos">13</span></a><span class="n">__version__</span><span class="o">=</span><span class="s1">&#39;1.0.5&#39;</span>
+</span><span id="L-13"><a href="#L-13"><span class="linenos">13</span></a><span class="n">__version__</span><span class="o">=</span><span class="s1">&#39;1.0.5.1&#39;</span>
 </span><span id="L-14"><a href="#L-14"><span class="linenos">14</span></a><span class="n">__AUTHOR__</span><span class="o">=</span><span class="s2">&quot;José Luis Garrido-Labrador&quot;</span>  <span class="c1"># Author of the package</span>
 </span><span id="L-15"><a href="#L-15"><span class="linenos">15</span></a><span class="n">__AUTHOR_EMAIL__</span><span class="o">=</span><span class="s2">&quot;jlgarrido@ubu.es&quot;</span>  <span class="c1"># Author&#39;s email</span>
 </span><span id="L-16"><a href="#L-16"><span class="linenos">16</span></a><span class="n">__URL__</span><span class="o">=</span><span class="s2">&quot;https://pypi.org/project/sslearn/&quot;</span>

sitemap.xml

@@ -5,6 +5,7 @@
 <url><loc>https://pdoc.dev/docs/</loc></url>
 <url><loc>https://pdoc.dev/docs/sslearn.html</loc></url>
 <url><loc>https://pdoc.dev/docs/sslearn/subview.html</loc></url>
+<url><loc>https://pdoc.dev/docs/sslearn/restricted (Copia en conflicto de CROSS-PC 2024-05-14).html</loc></url>
 <url><loc>https://pdoc.dev/docs/sslearn/model_selection.html</loc></url>
 <url><loc>https://pdoc.dev/docs/sslearn/base.html</loc></url>
 <url><loc>https://pdoc.dev/docs/sslearn/datasets.html</loc></url>

sslearn/__init__.py

@@ -10,7 +10,7 @@
     __doc__ = "Semi-Supervised Learning (SSL) is a Python package that provides tools to train and evaluate semi-supervised learning models."
 
 
-__version__='1.0.5'
+__version__='1.0.5.1'
 __AUTHOR__="José Luis Garrido-Labrador"  # Author of the package
 __AUTHOR_EMAIL__="jlgarrido@ubu.es"  # Author's email
 __URL__="https://pypi.org/project/sslearn/"