Nikola auto commit.

Source commit: 7c09d64
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2024/index.html

@@ -59,6 +59,9 @@
 <article class="listpage"><header><h1>Posts for year 2024</h1>
     </header><ul class="postlist">
 <li>
+<time class="listdate" datetime="2024-12-20T08:40:00+13:00" title="2024-12-20 08:40">2024-12-20 08:40</time><a href="../posts/2024-12-20-wekalist-has-moved/" class="listtitle">Wekalist has moved</a>
+</li>
+        <li>
 <time class="listdate" datetime="2024-07-16T11:40:00+12:00" title="2024-07-16 11:40">2024-07-16 11:40</time><a href="../posts/2024-07-16-pww3-release-using-jpype/" class="listtitle">python-weka-wrapper3 release using JPype</a>
 </li>
     </ul></article><!--End of body content--><footer id="footer">

archive.html

@@ -60,7 +60,7 @@
     </header><ul class="postlist">
 <li>
 <a href="2024/">2024</a>
-            (1)
+            (2)
         </li>
 <li>
 <a href="2022/">2022</a>

authors/eibe-frank.xml

@@ -1,5 +1,5 @@
 <?xml version="1.0" encoding="utf-8"?>
-<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>WEKA Blog (Posts by Eibe Frank)</title><link>https://waikato.github.io/weka-blog/</link><description></description><atom:link href="https://waikato.github.io/weka-blog/authors/eibe-frank.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Mon, 15 Jul 2024 23:48:47 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>New WekaDeeplearning4j Release - Pretrained Models, Feature Extraction Update, and more </title><link>https://waikato.github.io/weka-blog/posts/2020-07-04-wekaDeeplearning4j-1.6.0/</link><dc:creator>Eibe Frank</dc:creator><description>&lt;div&gt;&lt;p&gt;A new version of WekaDeeplearning4j, version 1.6.0, has just been released and brings with it a bunch of exciting new features.&lt;/p&gt;
+<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>WEKA Blog (Posts by Eibe Frank)</title><link>https://waikato.github.io/weka-blog/</link><description></description><atom:link href="https://waikato.github.io/weka-blog/authors/eibe-frank.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Thu, 19 Dec 2024 19:53:54 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>New WekaDeeplearning4j Release - Pretrained Models, Feature Extraction Update, and more </title><link>https://waikato.github.io/weka-blog/posts/2020-07-04-wekaDeeplearning4j-1.6.0/</link><dc:creator>Eibe Frank</dc:creator><description>&lt;div&gt;&lt;p&gt;A new version of WekaDeeplearning4j, version 1.6.0, has just been released and brings with it a bunch of exciting new features.&lt;/p&gt;
 &lt;p&gt;&lt;a href="https://waikato.github.io/weka-blog/posts/2020-07-04-wekaDeeplearning4j-1.6.0/"&gt;Read more…&lt;/a&gt; (1 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>github</category><guid>https://waikato.github.io/weka-blog/posts/2020-07-04-wekaDeeplearning4j-1.6.0/</guid><pubDate>Sat, 04 Jul 2020 06:06:00 GMT</pubDate></item><item><title>Micro averages in multi-class classification</title><link>https://waikato.github.io/weka-blog/posts/2019-02-16-micro_average/</link><dc:creator>Eibe Frank</dc:creator><description>&lt;div&gt;&lt;p&gt;When evaluating multi-class classification models, Weka outputs a weighted average of the per-class precision, recall, and F-measure: it computes these statistics for each class individually, treating the corresponding class as the "positive" class and the union of the other classes as the negative class, and computes a weighted average of these per-class statistics, with a per-class weight that is equal to the proportion of data in that class. A recent question on the Weka mailing list was whether the software also outputs micro-averaged precision, recall, and F-measure for multi-class problems. It turns out that it does! To find out where these can be found, read on.&lt;/p&gt;
 &lt;p&gt;&lt;a href="https://waikato.github.io/weka-blog/posts/2019-02-16-micro_average/"&gt;Read more…&lt;/a&gt; (3 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>github</category><guid>https://waikato.github.io/weka-blog/posts/2019-02-16-micro_average/</guid><pubDate>Sat, 16 Feb 2019 01:48:00 GMT</pubDate></item><item><title>Oversampling and Undersampling</title><link>https://waikato.github.io/weka-blog/posts/2019-01-30-sampling/</link><dc:creator>Eibe Frank</dc:creator><description>&lt;div&gt;&lt;p&gt;A frequent question of Weka users is how to implement oversampling or undersampling, which are two common strategies for dealing with imbalanced classes in classification problems. This post provides some explanation.&lt;/p&gt;
 &lt;p&gt;&lt;a href="https://waikato.github.io/weka-blog/posts/2019-01-30-sampling/"&gt;Read more…&lt;/a&gt; (4 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>github</category><guid>https://waikato.github.io/weka-blog/posts/2019-01-30-sampling/</guid><pubDate>Tue, 29 Jan 2019 23:10:00 GMT</pubDate></item></channel></rss>

authors/eibe.xml

@@ -1,3 +1,3 @@
 <?xml version="1.0" encoding="utf-8"?>
-<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>WEKA Blog (Posts by eibe)</title><link>https://waikato.github.io/weka-blog/</link><description></description><atom:link href="https://waikato.github.io/weka-blog/authors/eibe.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Mon, 15 Jul 2024 23:48:47 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Making a Weka classifier</title><link>https://waikato.github.io/weka-blog/posts/2018-10-08-making-a-weka-classifier/</link><dc:creator>eibe</dc:creator><description>&lt;div&gt;&lt;p&gt;One role of the Weka software is to provide users with the opportunity to implement machine learning algorithms without having to deal with data import and evaluation issues: when a classifier has been written as a Java class that implements a couple of standard methods defined in the Weka framework, all the goodies that come with Weka are automatically applicable to it, and it will automatically show up in Weka's graphical user interfaces. To see what needs to be done, read on!&lt;/p&gt;
+<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>WEKA Blog (Posts by eibe)</title><link>https://waikato.github.io/weka-blog/</link><description></description><atom:link href="https://waikato.github.io/weka-blog/authors/eibe.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Thu, 19 Dec 2024 19:53:54 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Making a Weka classifier</title><link>https://waikato.github.io/weka-blog/posts/2018-10-08-making-a-weka-classifier/</link><dc:creator>eibe</dc:creator><description>&lt;div&gt;&lt;p&gt;One role of the Weka software is to provide users with the opportunity to implement machine learning algorithms without having to deal with data import and evaluation issues: when a classifier has been written as a Java class that implements a couple of standard methods defined in the Weka framework, all the goodies that come with Weka are automatically applicable to it, and it will automatically show up in Weka's graphical user interfaces. To see what needs to be done, read on!&lt;/p&gt;
 &lt;p&gt;&lt;a href="https://waikato.github.io/weka-blog/posts/2018-10-08-making-a-weka-classifier/"&gt;Read more…&lt;/a&gt; (8 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>github</category><guid>https://waikato.github.io/weka-blog/posts/2018-10-08-making-a-weka-classifier/</guid><pubDate>Mon, 08 Oct 2018 04:02:00 GMT</pubDate></item></channel></rss>

authors/fracpete.xml

@@ -1,5 +1,13 @@
 <?xml version="1.0" encoding="utf-8"?>
-<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>WEKA Blog (Posts by FracPete)</title><link>https://waikato.github.io/weka-blog/</link><description></description><atom:link href="https://waikato.github.io/weka-blog/authors/fracpete.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Mon, 15 Jul 2024 23:48:47 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>python-weka-wrapper3 release using JPype</title><link>https://waikato.github.io/weka-blog/posts/2024-07-16-pww3-release-using-jpype/</link><dc:creator>FracPete</dc:creator><description>&lt;p&gt;Some of you might have come across the python-weka-wrapper3 library, which makes Weka available from Python:&lt;/p&gt;
+<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>WEKA Blog (Posts by FracPete)</title><link>https://waikato.github.io/weka-blog/</link><description></description><atom:link href="https://waikato.github.io/weka-blog/authors/fracpete.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Thu, 19 Dec 2024 19:53:54 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Wekalist has moved</title><link>https://waikato.github.io/weka-blog/posts/2024-12-20-wekalist-has-moved/</link><dc:creator>FracPete</dc:creator><description>&lt;p&gt;Unfortunately, the university mailman server was being decommissioned and the Wekalist had
+to find a new home. Its home is now on Sourceforge.net, where all the Weka releases and
+packages are hosted as well:&lt;/p&gt;
+&lt;p&gt;&lt;a class="reference external" href="https://sourceforge.net/projects/weka/lists/weka-users"&gt;https://sourceforge.net/projects/weka/lists/weka-users&lt;/a&gt;&lt;/p&gt;
+&lt;p&gt;You can find the mailing list archives here from now on:&lt;/p&gt;
+&lt;p&gt;&lt;a class="reference external" href="https://sourceforge.net/p/weka/mailman/weka-users/"&gt;https://sourceforge.net/p/weka/mailman/weka-users/&lt;/a&gt;&lt;/p&gt;
+&lt;p&gt;Due to the move, you will have to subscribe again before you can post to the list
+using the following email address:&lt;/p&gt;
+&lt;p&gt;&lt;a class="reference external" href="mailto:[email protected]"&gt;[email protected]&lt;/a&gt;&lt;/p&gt;</description><category>github</category><guid>https://waikato.github.io/weka-blog/posts/2024-12-20-wekalist-has-moved/</guid><pubDate>Thu, 19 Dec 2024 19:40:00 GMT</pubDate></item><item><title>python-weka-wrapper3 release using JPype</title><link>https://waikato.github.io/weka-blog/posts/2024-07-16-pww3-release-using-jpype/</link><dc:creator>FracPete</dc:creator><description>&lt;p&gt;Some of you might have come across the python-weka-wrapper3 library, which makes Weka available from Python:&lt;/p&gt;
 &lt;blockquote&gt;
 &lt;p&gt;&lt;a class="reference external" href="https://github.com/fracpete/python-weka-wrapper3"&gt;https://github.com/fracpete/python-weka-wrapper3&lt;/a&gt;&lt;/p&gt;
 &lt;/blockquote&gt;

authors/fracpete/index.html

@@ -67,6 +67,9 @@
         </div>
     </header><ul class="postlist">
 <li>
+<time class="listdate" datetime="2024-12-20T08:40:00+13:00" title="2024-12-20 08:40">2024-12-20 08:40</time><a href="../../posts/2024-12-20-wekalist-has-moved/" class="listtitle">Wekalist has moved</a>
+</li>
+                <li>
 <time class="listdate" datetime="2024-07-16T11:40:00+12:00" title="2024-07-16 11:40">2024-07-16 11:40</time><a href="../../posts/2024-07-16-pww3-release-using-jpype/" class="listtitle">python-weka-wrapper3 release using JPype</a>
 </li>
                 <li>

authors/peter-reutemann.xml

@@ -1,5 +1,5 @@
 <?xml version="1.0" encoding="utf-8"?>
-<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>WEKA Blog (Posts by Peter Reutemann)</title><link>https://waikato.github.io/weka-blog/</link><description></description><atom:link href="https://waikato.github.io/weka-blog/authors/peter-reutemann.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Mon, 15 Jul 2024 23:48:47 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Jupyter notebooks (on Windows)</title><link>https://waikato.github.io/weka-blog/posts/2019-04-02-jupyter-windows/</link><dc:creator>Peter Reutemann</dc:creator><description>&lt;div&gt;&lt;p&gt;In the previous &lt;a class="reference external" href="https://waikato.github.io/weka-blog/posts/2019-03-29-jupyter/"&gt;post&lt;/a&gt;, I quickly
+<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>WEKA Blog (Posts by Peter Reutemann)</title><link>https://waikato.github.io/weka-blog/</link><description></description><atom:link href="https://waikato.github.io/weka-blog/authors/peter-reutemann.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Thu, 19 Dec 2024 19:53:54 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Jupyter notebooks (on Windows)</title><link>https://waikato.github.io/weka-blog/posts/2019-04-02-jupyter-windows/</link><dc:creator>Peter Reutemann</dc:creator><description>&lt;div&gt;&lt;p&gt;In the previous &lt;a class="reference external" href="https://waikato.github.io/weka-blog/posts/2019-03-29-jupyter/"&gt;post&lt;/a&gt;, I quickly
 described how to set up Jupyter Notebooks to run Java code. Now I want
 to explain how to set things up on Windows using
 &lt;a class="reference external" href="https://www.anaconda.com/"&gt;Anaconda&lt;/a&gt;. Of course, you have to have

authors/rhys-compton.xml

@@ -1,3 +1,3 @@
 <?xml version="1.0" encoding="utf-8"?>
-<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>WEKA Blog (Posts by Rhys Compton)</title><link>https://waikato.github.io/weka-blog/</link><description></description><atom:link href="https://waikato.github.io/weka-blog/authors/rhys-compton.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Mon, 15 Jul 2024 23:48:47 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>New WekaDeeplearning4j Release - CNN explorer, saliency maps, progress manager, and model summaries </title><link>https://waikato.github.io/weka-blog/posts/2020-11-26-wekaDeeplearning4j-1.7.0/</link><dc:creator>Rhys Compton</dc:creator><description>&lt;div&gt;&lt;p&gt;A new version of WekaDeeplearning4j, version 1.7.0, is available!&lt;/p&gt;
+<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>WEKA Blog (Posts by Rhys Compton)</title><link>https://waikato.github.io/weka-blog/</link><description></description><atom:link href="https://waikato.github.io/weka-blog/authors/rhys-compton.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Thu, 19 Dec 2024 19:53:54 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>New WekaDeeplearning4j Release - CNN explorer, saliency maps, progress manager, and model summaries </title><link>https://waikato.github.io/weka-blog/posts/2020-11-26-wekaDeeplearning4j-1.7.0/</link><dc:creator>Rhys Compton</dc:creator><description>&lt;div&gt;&lt;p&gt;A new version of WekaDeeplearning4j, version 1.7.0, is available!&lt;/p&gt;
 &lt;p&gt;&lt;a href="https://waikato.github.io/weka-blog/posts/2020-11-26-wekaDeeplearning4j-1.7.0/"&gt;Read more…&lt;/a&gt; (2 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>github</category><guid>https://waikato.github.io/weka-blog/posts/2020-11-26-wekaDeeplearning4j-1.7.0/</guid><pubDate>Thu, 26 Nov 2020 06:06:00 GMT</pubDate></item></channel></rss>

authors/steven-lang.xml

@@ -1,5 +1,5 @@
 <?xml version="1.0" encoding="utf-8"?>
-<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>WEKA Blog (Posts by Steven Lang )</title><link>https://waikato.github.io/weka-blog/</link><description></description><atom:link href="https://waikato.github.io/weka-blog/authors/steven-lang.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Mon, 15 Jul 2024 23:48:47 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Weka-Kt: Kotlin Extensions for Weka</title><link>https://waikato.github.io/weka-blog/posts/2018-06-22-wekakotlin/</link><dc:creator>Steven Lang </dc:creator><description>&lt;div&gt;&lt;figure&gt;
+<?xml-stylesheet type="text/xsl" href="../assets/xml/rss.xsl" media="all"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>WEKA Blog (Posts by Steven Lang )</title><link>https://waikato.github.io/weka-blog/</link><description></description><atom:link href="https://waikato.github.io/weka-blog/authors/steven-lang.xml" rel="self" type="application/rss+xml"></atom:link><language>en</language><lastBuildDate>Thu, 19 Dec 2024 19:53:54 GMT</lastBuildDate><generator>Nikola (getnikola.com)</generator><docs>http://blogs.law.harvard.edu/tech/rss</docs><item><title>Weka-Kt: Kotlin Extensions for Weka</title><link>https://waikato.github.io/weka-blog/posts/2018-06-22-wekakotlin/</link><dc:creator>Steven Lang </dc:creator><description>&lt;div&gt;&lt;figure&gt;
 &lt;a class="reference external image-reference" href="https://github.com/steven-lang/weka-kt"&gt;
 &lt;img alt="Weka-Kt: Kotlin Extensions for Weka" src="https://raw.githubusercontent.com/steven-lang/weka-kt/master/resources/Weka_3_kotlin_full.png" style="width: 300px;"&gt;
 &lt;/a&gt;