[incubator-hivemall-site] branch asf-site updated: Revised bagging entry

[myui]

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myui pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-hivemall-site.git


The following commit(s) were added to refs/heads/asf-site by this push:
     new c9f3745  Revised bagging entry
c9f3745 is described below

commit c9f3745da45dfdf4964978f25c023b3b08de2943
Author: Makoto Yui <m...@apache.org>
AuthorDate: Thu Aug 27 18:08:33 2020 +0900

    Revised bagging entry
---
 userguide/binaryclass/news20_generic_bagging.html | 30 +++++++++--------------
 1 file changed, 11 insertions(+), 19 deletions(-)

diff --git a/userguide/binaryclass/news20_generic_bagging.html 
b/userguide/binaryclass/news20_generic_bagging.html
index 0f8cd90..f9ddc4f 100644
--- a/userguide/binaryclass/news20_generic_bagging.html
+++ b/userguide/binaryclass/news20_generic_bagging.html
@@ -2410,23 +2410,13 @@ In this tutorial, we show how to apply bagging (i.e., 
prediction ensemble) for m
      ) <span class="hljs-keyword">as</span> (feature,weight)
   <span class="hljs-keyword">from</span>
      news20b_train_x3
-),
-models <span class="hljs-keyword">as</span> (
-  <span class="hljs-keyword">select</span>
-    taskid() <span class="hljs-keyword">as</span> modelid,
-    feature,
-    weight
-  <span class="hljs-keyword">from</span> 
-    train
 )
 <span class="hljs-keyword">select</span>
-  modelid,
+  taskid() <span class="hljs-keyword">as</span> modelid,
   feature,
-  voted_avg(weight) <span class="hljs-keyword">as</span> weight <span 
class="hljs-comment">-- or simply avg(weight)</span>
-<span class="hljs-keyword">from</span>
-  models
-<span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span>
-  modelid, feature;
+  weight
+<span class="hljs-keyword">from</span> 
+  train;
 </code></pre>
 <h2 id="prediction">prediction</h2>
 <pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span 
class="hljs-keyword">table</span> bagging_predict
@@ -2443,7 +2433,7 @@ models <span class="hljs-keyword">as</span> (
   <span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span>
     <span class="hljs-keyword">rowid</span>, modelid
 ),
-voted <span class="hljs-keyword">as</span> (
+bagging <span class="hljs-keyword">as</span> (
   <span class="hljs-keyword">select</span>
     <span class="hljs-keyword">rowid</span>,
     voted_avg(total_weight) <span class="hljs-keyword">as</span> total_weight
@@ -2454,10 +2444,12 @@ voted <span class="hljs-keyword">as</span> (
 )
 <span class="hljs-keyword">select</span>
   <span class="hljs-keyword">rowid</span>,
-  <span class="hljs-keyword">max</span>(total_weight) <span 
class="hljs-keyword">as</span> total_weight, <span class="hljs-comment">-- max 
is dummy </span>
-  <span class="hljs-keyword">case</span> <span 
class="hljs-keyword">when</span> <span 
class="hljs-keyword">sum</span>(total_weight) &gt; <span 
class="hljs-number">0.0</span> <span class="hljs-keyword">then</span> <span 
class="hljs-number">1</span> <span class="hljs-keyword">else</span> <span 
class="hljs-number">-1</span> <span class="hljs-keyword">end</span> <span 
class="hljs-keyword">as</span> label
+  total_weight,
+  <span class="hljs-comment">-- <span class="hljs-doctag">Note:</span> 
sum(total_weight) &gt; 0.0 equals to sigmoid(total_weight) &gt; 0.5</span>
+  <span class="hljs-comment">-- 
https://en.wikipedia.org/wiki/Sigmoid_function</span>
+  <span class="hljs-keyword">case</span> <span 
class="hljs-keyword">when</span> total_weight &gt; <span 
class="hljs-number">0.0</span> <span class="hljs-keyword">then</span> <span 
class="hljs-number">1</span> <span class="hljs-keyword">else</span> <span 
class="hljs-number">-1</span> <span class="hljs-keyword">end</span> <span 
class="hljs-keyword">as</span> label
 <span class="hljs-keyword">from</span>
-  voted
+  bagging
 <span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span>
   <span class="hljs-keyword">rowid</span>;
 </code></pre>
@@ -2533,7 +2525,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
-            gitbook.page.hasChanged({"page":{"title":"Baggnig 
classiers","level":"6.3.5","depth":2,"next":{"title":"AdaGradRDA, AdaGrad, 
AdaDelta","level":"6.3.6","depth":2,"path":"binaryclass/news20_adagrad.md","ref":"binaryclass/news20_adagrad.md","articles":[]},"previous":{"title":"General
 Binary 
Classifier","level":"6.3.4","depth":2,"path":"binaryclass/news20_generic.md","ref":"binaryclass/news20_generic.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","gi
 [...]
+            gitbook.page.hasChanged({"page":{"title":"Baggnig 
classiers","level":"6.3.5","depth":2,"next":{"title":"AdaGradRDA, AdaGrad, 
AdaDelta","level":"6.3.6","depth":2,"path":"binaryclass/news20_adagrad.md","ref":"binaryclass/news20_adagrad.md","articles":[]},"previous":{"title":"General
 Binary 
Classifier","level":"6.3.4","depth":2,"path":"binaryclass/news20_generic.md","ref":"binaryclass/news20_generic.md","articles":[]},"dir":"ltr"},"config":{"plugins":["theme-api","edit-link","gi
 [...]
         });
     </script>
 </div>