scikit-learn · katrinleinweber · Mar 31, 2018
diff --git a/0.15/modules/generated/sklearn.manifold.spectral_embedding.html b/0.15/modules/generated/sklearn.manifold.spectral_embedding.html
@@ -251,7 +251,7 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.manifold"
 <li>Toward the Optimal Preconditioned Eigensolver: Locally Optimal
 Block Preconditioned Conjugate Gradient Method
 Andrew V. Knyazev
-<a class="reference external" href="http://dx.doi.org/10.1137%2FS1064827500366124">http://dx.doi.org/10.1137%2FS1064827500366124</a></li>
+<a class="reference external" href="https://doi.org/10.1137%2FS1064827500366124">https://doi.org/10.1137%2FS1064827500366124</a></li>
 </ul>
 </dd></dl>
 
@@ -307,4 +307,4 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.manifold"
             customSearchControl.draw('cse', options); }, true);
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diff --git a/0.15/modules/generated/sklearn.metrics.matthews_corrcoef.html b/0.15/modules/generated/sklearn.metrics.matthews_corrcoef.html
@@ -222,7 +222,7 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.metrics"
 <table class="docutils citation" frame="void" id="r163" rules="none">
 <colgroup><col class="label" /><col /></colgroup>
 <tbody valign="top">
-<tr><td class="label"><a class="fn-backref" href="#id1">[R163]</a></td><td><a class="reference external" href="http://dx.doi.org/10.1093/bioinformatics/16.5.412">Baldi, Brunak, Chauvin, Andersen and Nielsen, (2000). Assessing the
+<tr><td class="label"><a class="fn-backref" href="#id1">[R163]</a></td><td><a class="reference external" href="https://doi.org/10.1093/bioinformatics/16.5.412">Baldi, Brunak, Chauvin, Andersen and Nielsen, (2000). Assessing the
 accuracy of prediction algorithms for classification: an overview</a></td></tr>
 </tbody>
 </table>
@@ -294,4 +294,4 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.metrics"
             customSearchControl.draw('cse', options); }, true);
     </script>
   </body>
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+</html>
diff --git a/0.16/modules/generated/sklearn.manifold.spectral_embedding.html b/0.16/modules/generated/sklearn.manifold.spectral_embedding.html
@@ -257,7 +257,7 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.manifold"
 <li>Toward the Optimal Preconditioned Eigensolver: Locally Optimal
 Block Preconditioned Conjugate Gradient Method
 Andrew V. Knyazev
-<a class="reference external" href="http://dx.doi.org/10.1137%2FS1064827500366124">http://dx.doi.org/10.1137%2FS1064827500366124</a></li>
+<a class="reference external" href="https://doi.org/10.1137%2FS1064827500366124">https://doi.org/10.1137%2FS1064827500366124</a></li>
 </ul>
 </dd></dl>
 
@@ -313,4 +313,4 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.manifold"
             customSearchControl.draw('cse', options); }, true);
     </script>
   </body>
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+</html>
diff --git a/0.16/modules/generated/sklearn.metrics.matthews_corrcoef.html b/0.16/modules/generated/sklearn.metrics.matthews_corrcoef.html
@@ -224,7 +224,7 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.metrics"
 <table class="docutils citation" frame="void" id="r171" rules="none">
 <colgroup><col class="label" /><col /></colgroup>
 <tbody valign="top">
-<tr><td class="label"><a class="fn-backref" href="#id1">[R171]</a></td><td><a class="reference external" href="http://dx.doi.org/10.1093/bioinformatics/16.5.412">Baldi, Brunak, Chauvin, Andersen and Nielsen, (2000). Assessing the
+<tr><td class="label"><a class="fn-backref" href="#id1">[R171]</a></td><td><a class="reference external" href="https://doi.org/10.1093/bioinformatics/16.5.412">Baldi, Brunak, Chauvin, Andersen and Nielsen, (2000). Assessing the
 accuracy of prediction algorithms for classification: an overview</a></td></tr>
 </tbody>
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@@ -296,4 +296,4 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.metrics"
             customSearchControl.draw('cse', options); }, true);
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diff --git a/0.17/_sources/modules/clustering.txt b/0.17/_sources/modules/clustering.txt
@@ -1158,7 +1158,7 @@ calculated using a similar form to that of the adjusted Rand index:
  * Vinh, Epps, and Bailey, (2009). "Information theoretic measures
    for clusterings comparison". Proceedings of the 26th Annual International
    Conference on Machine Learning - ICML '09.
-   `doi:10.1145/1553374.1553511 <http://dx.doi.org/10.1145/1553374.1553511>`_.
+   `doi:10.1145/1553374.1553511 <https://doi.org/10.1145/1553374.1553511>`_.
    ISBN 9781605585161.
 
  * Vinh, Epps, and Bailey, (2010). Information Theoretic Measures for
@@ -1377,7 +1377,7 @@ cluster analysis.
  * Peter J. Rousseeuw (1987). "Silhouettes: a Graphical Aid to the
    Interpretation and Validation of Cluster Analysis". Computational
    and Applied Mathematics 20: 53–65.
-   `doi:10.1016/0377-0427(87)90125-7 <http://dx.doi.org/10.1016/0377-0427(87)90125-7>`_.
+   `doi:10.1016/0377-0427(87)90125-7 <https://doi.org/10.1016/0377-0427(87)90125-7>`_.
 
 
 Advantages

diff --git a/0.17/modules/clustering.html b/0.17/modules/clustering.html
@@ -1197,7 +1197,7 @@ <h4>2.3.9.2.3. Mathematical formulation<a class="headerlink" href="#id11" title=
 <li>Vinh, Epps, and Bailey, (2009). &#8220;Information theoretic measures
 for clusterings comparison&#8221;. Proceedings of the 26th Annual International
 Conference on Machine Learning - ICML &#8216;09.
-<a class="reference external" href="http://dx.doi.org/10.1145/1553374.1553511">doi:10.1145/1553374.1553511</a>.
+<a class="reference external" href="https://doi.org/10.1145/1553374.1553511">doi:10.1145/1553374.1553511</a>.
 ISBN 9781605585161.</li>
 <li>Vinh, Epps, and Bailey, (2010). Information Theoretic Measures for
 Clusterings Comparison: Variants, Properties, Normalization and
@@ -1403,7 +1403,7 @@ <h4>2.3.9.3.3. Mathematical formulation<a class="headerlink" href="#id15" title=
 <li>Peter J. Rousseeuw (1987). &#8220;Silhouettes: a Graphical Aid to the
 Interpretation and Validation of Cluster Analysis&#8221;. Computational
 and Applied Mathematics 20: 53–65.
-<a class="reference external" href="http://dx.doi.org/10.1016/0377-0427(87)90125-7">doi:10.1016/0377-0427(87)90125-7</a>.</li>
+<a class="reference external" href="https://doi.org/10.1016/0377-0427(87)90125-7">doi:10.1016/0377-0427(87)90125-7</a>.</li>
 </ul>
 </div>
 <div class="section" id="id17">
@@ -1480,4 +1480,4 @@ <h4>2.3.9.4.2. Drawbacks<a class="headerlink" href="#id18" title="Permalink to t
             customSearchControl.draw('cse', options); }, true);
     </script>
   </body>
-</html>
+</html>
diff --git a/0.17/modules/generated/sklearn.manifold.spectral_embedding.html b/0.17/modules/generated/sklearn.manifold.spectral_embedding.html
@@ -243,7 +243,7 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.manifold"
 <li>Toward the Optimal Preconditioned Eigensolver: Locally Optimal
 Block Preconditioned Conjugate Gradient Method
 Andrew V. Knyazev
-<a class="reference external" href="http://dx.doi.org/10.1137%2FS1064827500366124">http://dx.doi.org/10.1137%2FS1064827500366124</a></li>
+<a class="reference external" href="https://doi.org/10.1137%2FS1064827500366124">https://doi.org/10.1137%2FS1064827500366124</a></li>
 </ul>
 </dd></dl>
 
@@ -295,4 +295,4 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.manifold"
             customSearchControl.draw('cse', options); }, true);
     </script>
   </body>
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+</html>
diff --git a/0.17/modules/generated/sklearn.metrics.matthews_corrcoef.html b/0.17/modules/generated/sklearn.metrics.matthews_corrcoef.html
@@ -210,7 +210,7 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.metrics"
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 <colgroup><col class="label" /><col /></colgroup>
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-<tr><td class="label"><a class="fn-backref" href="#id1">[R173]</a></td><td><a class="reference external" href="http://dx.doi.org/10.1093/bioinformatics/16.5.412">Baldi, Brunak, Chauvin, Andersen and Nielsen, (2000). Assessing the
+<tr><td class="label"><a class="fn-backref" href="#id1">[R173]</a></td><td><a class="reference external" href="https://doi.org/10.1093/bioinformatics/16.5.412">Baldi, Brunak, Chauvin, Andersen and Nielsen, (2000). Assessing the
 accuracy of prediction algorithms for classification: an overview</a></td></tr>
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             customSearchControl.draw('cse', options); }, true);
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diff --git a/0.18/_sources/modules/clustering.txt b/0.18/_sources/modules/clustering.txt
@@ -1474,7 +1474,7 @@ cluster analysis.
  * Peter J. Rousseeuw (1987). "Silhouettes: a Graphical Aid to the
    Interpretation and Validation of Cluster Analysis". Computational
    and Applied Mathematics 20: 53–65.
-   `doi:10.1016/0377-0427(87)90125-7 <http://dx.doi.org/10.1016/0377-0427(87)90125-7>`_.
+   `doi:10.1016/0377-0427(87)90125-7 <https://doi.org/10.1016/0377-0427(87)90125-7>`_.
 
 
 Advantages
@@ -1567,4 +1567,4 @@ Drawbacks
 
  *  Caliński, T., & Harabasz, J. (1974). "A dendrite method for cluster
     analysis". Communications in Statistics-theory and Methods 3: 1-27.
-    `doi:10.1080/03610926.2011.560741 <http://dx.doi.org/10.1080/03610926.2011.560741>`_.
+    `doi:10.1080/03610926.2011.560741 <https://doi.org/10.1080/03610926.2011.560741>`_.
diff --git a/0.18/modules/clustering.html b/0.18/modules/clustering.html
@@ -1536,7 +1536,7 @@ <h4>2.3.9.4.2. Drawbacks<a class="headerlink" href="#id18" title="Permalink to t
 <li>Peter J. Rousseeuw (1987). &#8220;Silhouettes: a Graphical Aid to the
 Interpretation and Validation of Cluster Analysis&#8221;. Computational
 and Applied Mathematics 20: 53–65.
-<a class="reference external" href="http://dx.doi.org/10.1016/0377-0427(87)90125-7">doi:10.1016/0377-0427(87)90125-7</a>.</li>
+<a class="reference external" href="https://doi.org/10.1016/0377-0427(87)90125-7">doi:10.1016/0377-0427(87)90125-7</a>.</li>
 </ul>
 </div>
 <div class="section" id="id20">
@@ -1623,7 +1623,7 @@ <h4>2.3.9.6.2. Drawbacks<a class="headerlink" href="#id24" title="Permalink to t
 <ul class="simple">
 <li>Caliński, T., &amp; Harabasz, J. (1974). &#8220;A dendrite method for cluster
 analysis&#8221;. Communications in Statistics-theory and Methods 3: 1-27.
-<a class="reference external" href="http://dx.doi.org/10.1080/03610926.2011.560741">doi:10.1080/03610926.2011.560741</a>.</li>
+<a class="reference external" href="https://doi.org/10.1080/03610926.2011.560741">doi:10.1080/03610926.2011.560741</a>.</li>
 </ul>
 </div>
 </div>
@@ -1681,4 +1681,4 @@ <h4>2.3.9.6.2. Drawbacks<a class="headerlink" href="#id24" title="Permalink to t
             customSearchControl.draw('cse', options); }, true);
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   </body>
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diff --git a/0.18/modules/generated/sklearn.manifold.spectral_embedding.html b/0.18/modules/generated/sklearn.manifold.spectral_embedding.html
@@ -273,7 +273,7 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.manifold"
 <li>Toward the Optimal Preconditioned Eigensolver: Locally Optimal
 Block Preconditioned Conjugate Gradient Method
 Andrew V. Knyazev
-<a class="reference external" href="http://dx.doi.org/10.1137%2FS1064827500366124">http://dx.doi.org/10.1137%2FS1064827500366124</a></li>
+<a class="reference external" href="https://doi.org/10.1137%2FS1064827500366124">https://doi.org/10.1137%2FS1064827500366124</a></li>
 </ul>
 </dd></dl>
 
@@ -329,4 +329,4 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.manifold"
             customSearchControl.draw('cse', options); }, true);
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diff --git a/0.18/modules/generated/sklearn.metrics.matthews_corrcoef.html b/0.18/modules/generated/sklearn.metrics.matthews_corrcoef.html
@@ -244,7 +244,7 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.metrics"
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+<tr><td class="label"><a class="fn-backref" href="#id1">[R218]</a></td><td><a class="reference external" href="https://doi.org/10.1093/bioinformatics/16.5.412">Baldi, Brunak, Chauvin, Andersen and Nielsen, (2000). Assessing the
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diff --git a/0.19/_sources/modules/clustering.rst.txt b/0.19/_sources/modules/clustering.rst.txt
@@ -1488,7 +1488,7 @@ cluster analysis.
  * Peter J. Rousseeuw (1987). "Silhouettes: a Graphical Aid to the
    Interpretation and Validation of Cluster Analysis". Computational
    and Applied Mathematics 20: 53–65.
-   `doi:10.1016/0377-0427(87)90125-7 <http://dx.doi.org/10.1016/0377-0427(87)90125-7>`_.
+   `doi:10.1016/0377-0427(87)90125-7 <https://doi.org/10.1016/0377-0427(87)90125-7>`_.
 
 
 Advantages
@@ -1581,4 +1581,4 @@ Drawbacks
 
  *  Caliński, T., & Harabasz, J. (1974). "A dendrite method for cluster
     analysis". Communications in Statistics-theory and Methods 3: 1-27.
-    `doi:10.1080/03610926.2011.560741 <http://dx.doi.org/10.1080/03610926.2011.560741>`_.
+    `doi:10.1080/03610926.2011.560741 <https://doi.org/10.1080/03610926.2011.560741>`_.
diff --git a/0.19/modules/clustering.html b/0.19/modules/clustering.html
@@ -1549,7 +1549,7 @@ <h4>2.3.9.4.2. Drawbacks<a class="headerlink" href="#id18" title="Permalink to t
 <li>Peter J. Rousseeuw (1987). “Silhouettes: a Graphical Aid to the
 Interpretation and Validation of Cluster Analysis”. Computational
 and Applied Mathematics 20: 53–65.
-<a class="reference external" href="http://dx.doi.org/10.1016/0377-0427(87)90125-7">doi:10.1016/0377-0427(87)90125-7</a>.</li>
+<a class="reference external" href="https://doi.org/10.1016/0377-0427(87)90125-7">doi:10.1016/0377-0427(87)90125-7</a>.</li>
 </ul>
 </div>
 <div class="section" id="id20">
@@ -1636,7 +1636,7 @@ <h4>2.3.9.6.2. Drawbacks<a class="headerlink" href="#id24" title="Permalink to t
 <ul class="simple">
 <li>Caliński, T., &amp; Harabasz, J. (1974). “A dendrite method for cluster
 analysis”. Communications in Statistics-theory and Methods 3: 1-27.
-<a class="reference external" href="http://dx.doi.org/10.1080/03610926.2011.560741">doi:10.1080/03610926.2011.560741</a>.</li>
+<a class="reference external" href="https://doi.org/10.1080/03610926.2011.560741">doi:10.1080/03610926.2011.560741</a>.</li>
 </ul>
 </div>
 </div>
@@ -1691,4 +1691,4 @@ <h4>2.3.9.6.2. Drawbacks<a class="headerlink" href="#id24" title="Permalink to t
       })();
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   </body>
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diff --git a/0.19/modules/generated/sklearn.manifold.spectral_embedding.html b/0.19/modules/generated/sklearn.manifold.spectral_embedding.html
@@ -280,7 +280,7 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.manifold"
 <li>Toward the Optimal Preconditioned Eigensolver: Locally Optimal
 Block Preconditioned Conjugate Gradient Method
 Andrew V. Knyazev
-<a class="reference external" href="http://dx.doi.org/10.1137%2FS1064827500366124">http://dx.doi.org/10.1137%2FS1064827500366124</a></li>
+<a class="reference external" href="https://doi.org/10.1137%2FS1064827500366124">https://doi.org/10.1137%2FS1064827500366124</a></li>
 </ul>
 </dd></dl>
 
@@ -333,4 +333,4 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.manifold"
       })();
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   </body>
-</html>
+</html>
diff --git a/0.19/modules/generated/sklearn.metrics.matthews_corrcoef.html b/0.19/modules/generated/sklearn.metrics.matthews_corrcoef.html
@@ -248,7 +248,7 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.metrics"
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 <colgroup><col class="label" /><col /></colgroup>
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+<tr><td class="label"><a class="fn-backref" href="#id1">[R221]</a></td><td><a class="reference external" href="https://doi.org/10.1093/bioinformatics/16.5.412">Baldi, Brunak, Chauvin, Andersen and Nielsen, (2000). Assessing the
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@@ -331,4 +331,4 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.metrics"
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diff --git a/dev/_sources/modules/clustering.rst.txt b/dev/_sources/modules/clustering.rst.txt
@@ -1496,7 +1496,7 @@ cluster analysis.
  * Peter J. Rousseeuw (1987). "Silhouettes: a Graphical Aid to the
    Interpretation and Validation of Cluster Analysis". Computational
    and Applied Mathematics 20: 53–65.
-   `doi:10.1016/0377-0427(87)90125-7 <http://dx.doi.org/10.1016/0377-0427(87)90125-7>`_.
+   `doi:10.1016/0377-0427(87)90125-7 <https://doi.org/10.1016/0377-0427(87)90125-7>`_.
 
 
 Advantages
@@ -1589,7 +1589,7 @@ Drawbacks
 
  *  Caliński, T., & Harabasz, J. (1974). "A dendrite method for cluster
     analysis". Communications in Statistics-theory and Methods 3: 1-27.
-    `doi:10.1080/03610926.2011.560741 <http://dx.doi.org/10.1080/03610926.2011.560741>`_.
+    `doi:10.1080/03610926.2011.560741 <https://doi.org/10.1080/03610926.2011.560741>`_.
 
 .. _contingency_matrix:
 

diff --git a/dev/modules/clustering.html b/dev/modules/clustering.html
@@ -1573,7 +1573,7 @@ <h4>2.3.9.4.2. Drawbacks<a class="headerlink" href="#id18" title="Permalink to t
 <li>Peter J. Rousseeuw (1987). “Silhouettes: a Graphical Aid to the
 Interpretation and Validation of Cluster Analysis”. Computational
 and Applied Mathematics 20: 53–65.
-<a class="reference external" href="http://dx.doi.org/10.1016/0377-0427(87)90125-7">doi:10.1016/0377-0427(87)90125-7</a>.</li>
+<a class="reference external" href="https://doi.org/10.1016/0377-0427(87)90125-7">doi:10.1016/0377-0427(87)90125-7</a>.</li>
 </ul>
 </div>
 <div class="section" id="id20">
@@ -1660,7 +1660,7 @@ <h4>2.3.9.6.2. Drawbacks<a class="headerlink" href="#id24" title="Permalink to t
 <ul class="simple">
 <li>Caliński, T., &amp; Harabasz, J. (1974). “A dendrite method for cluster
 analysis”. Communications in Statistics-theory and Methods 3: 1-27.
-<a class="reference external" href="http://dx.doi.org/10.1080/03610926.2011.560741">doi:10.1080/03610926.2011.560741</a>.</li>
+<a class="reference external" href="https://doi.org/10.1080/03610926.2011.560741">doi:10.1080/03610926.2011.560741</a>.</li>
 </ul>
 </div>
 </div>
@@ -1765,4 +1765,4 @@ <h4>2.3.9.7.2. Drawbacks<a class="headerlink" href="#id27" title="Permalink to t
       })();
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   </body>
-</html>
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diff --git a/dev/modules/generated/sklearn.manifold.spectral_embedding.html b/dev/modules/generated/sklearn.manifold.spectral_embedding.html
@@ -278,7 +278,7 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.manifold"
 <li>Toward the Optimal Preconditioned Eigensolver: Locally Optimal
 Block Preconditioned Conjugate Gradient Method
 Andrew V. Knyazev
-<a class="reference external" href="http://dx.doi.org/10.1137%2FS1064827500366124">http://dx.doi.org/10.1137%2FS1064827500366124</a></li>
+<a class="reference external" href="https://doi.org/10.1137%2FS1064827500366124">https://doi.org/10.1137%2FS1064827500366124</a></li>
 </ul>
 </dd></dl>
 
@@ -331,4 +331,4 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.manifold"
       })();
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   </body>
-</html>
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@@ -250,7 +250,7 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.metrics"
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+<tr><td class="label"><a class="fn-backref" href="#id1">[1]</a></td><td><a class="reference external" href="https://doi.org/10.1093/bioinformatics/16.5.412">Baldi, Brunak, Chauvin, Andersen and Nielsen, (2000). Assessing the
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 </tbody>
 </table>
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