http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/multiclass/iris_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/iris_dataset.html 
b/userguide/multiclass/iris_dataset.html
index 2759a4f..4e0ec11 100644
--- a/userguide/multiclass/iris_dataset.html
+++ b/userguide/multiclass/iris_dataset.html
@@ -244,7 +244,7 @@
                     
                         <b>1.3.1.</b>
                     
-                    Explicit addBias() for better prediction
+                    Explicit add_bias() for better prediction
             
                 </a>
             
@@ -707,14 +707,14 @@
         
         
     
-        <li class="chapter " data-level="4.1" 
data-path="../eval/stat_eval.html">
+        <li class="chapter " data-level="4.1" 
data-path="../eval/binary_classification_measures.html">
             
-                <a href="../eval/stat_eval.html">
+                <a href="../eval/binary_classification_measures.html">
             
                     
                         <b>4.1.</b>
                     
-                    Statistical evaluation of a prediction model
+                    Binary Classification Metrics
             
                 </a>
             
@@ -743,13 +743,43 @@
             
         </li>
     
-        <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+        <li class="chapter " data-level="4.2" 
data-path="../eval/multilabel_classification_measures.html">
             
-                <a href="../eval/rank.html">
+                <a href="../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" 
data-path="../eval/regression.html">
+            
+                <a href="../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+            
+                <a href="../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
@@ -758,12 +788,12 @@
             
         </li>
     
-        <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+        <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
             
                 <a href="../eval/datagen.html">
             
                     
-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="4.3.1" 
data-path="../eval/lr_datagen.html">
+        <li class="chapter " data-level="4.5.1" 
data-path="../eval/lr_datagen.html">
             
                 <a href="../eval/lr_datagen.html">
             
                     
-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
                     Logistic Regression data generation
             
@@ -2326,7 +2356,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/multiclass/iris_randomforest.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/iris_randomforest.html 
b/userguide/multiclass/iris_randomforest.html
index a1475b9..e6b0d11 100644
--- a/userguide/multiclass/iris_randomforest.html
+++ b/userguide/multiclass/iris_randomforest.html
@@ -244,7 +244,7 @@
                     
                         <b>1.3.1.</b>
                     
-                    Explicit addBias() for better prediction
+                    Explicit add_bias() for better prediction
             
                 </a>
             
@@ -707,14 +707,14 @@
         
         
     
-        <li class="chapter " data-level="4.1" 
data-path="../eval/stat_eval.html">
+        <li class="chapter " data-level="4.1" 
data-path="../eval/binary_classification_measures.html">
             
-                <a href="../eval/stat_eval.html">
+                <a href="../eval/binary_classification_measures.html">
             
                     
                         <b>4.1.</b>
                     
-                    Statistical evaluation of a prediction model
+                    Binary Classification Metrics
             
                 </a>
             
@@ -743,13 +743,43 @@
             
         </li>
     
-        <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+        <li class="chapter " data-level="4.2" 
data-path="../eval/multilabel_classification_measures.html">
             
-                <a href="../eval/rank.html">
+                <a href="../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" 
data-path="../eval/regression.html">
+            
+                <a href="../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+            
+                <a href="../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
@@ -758,12 +788,12 @@
             
         </li>
     
-        <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+        <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
             
                 <a href="../eval/datagen.html">
             
                     
-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="4.3.1" 
data-path="../eval/lr_datagen.html">
+        <li class="chapter " data-level="4.5.1" 
data-path="../eval/lr_datagen.html">
             
                 <a href="../eval/lr_datagen.html">
             
                     
-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
                     Logistic Regression data generation
             
@@ -2155,6 +2185,28 @@
   specific language governing permissions and limitations
   under the License.
 -->
+<!-- toc --><div id="toc" class="toc">
+
+<ul>
+<li><a href="#dataset">Dataset</a></li>
+<li><a href="#table-preparation">Table preparation</a></li>
+<li><a href="#training">Training</a><ul>
+<li><a href="#training-options">Training options</a><ul>
+<li><a href="#parallelize-training">Parallelize Training</a></li>
+<li><a href="#learning-stats">Learning stats</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><a href="#prediction">Prediction</a><ul>
+<li><a href="#parallelize-prediction">Parallelize Prediction</a></li>
+</ul>
+</li>
+<li><a href="#evaluation">Evaluation</a></li>
+<li><a href="#graphvis-export">Graphvis export</a></li>
+</ul>
+
+</div><!-- tocstop -->
 <h1 id="dataset">Dataset</h1>
 <ul>
 <li><a href="https://archive.ics.uci.edu/ml/datasets/Iris"; 
target="_blank">https://archive.ics.uci.edu/ml/datasets/Iris</a></li>
@@ -2349,13 +2401,12 @@ usage: 
train_randomforest_classifier(array&lt;double|string&gt; features, int
 <span class="hljs-keyword">FROM</span> (
   <span class="hljs-keyword">SELECT</span>
     <span class="hljs-keyword">rowid</span>, 
-    <span class="hljs-comment">-- hivemall v0.4.1-alpha.2 and before</span>
-    <span class="hljs-comment">-- tree_predict(p.model, t.features, 
${classification}) as predicted</span>
     <span class="hljs-comment">-- hivemall v0.4.1 and later</span>
     <span class="hljs-comment">-- tree_predict(p.model_id, p.model_type, 
p.pred_model, t.features, ${classification}) as predicted</span>
     <span class="hljs-comment">-- hivemall v0.5-rc.1 or later</span>
     p.model_weight,
     tree_predict(p.model_id, p.<span class="hljs-keyword">model</span>, 
t.features, ${classification}) <span class="hljs-keyword">as</span> predicted
+    <span class="hljs-comment">-- tree_predict_v1(p.model_id, p.model_type, 
p.pred_model, t.features, ${classification}) as predicted -- to use the old 
model in v0.5-rc.1 or later</span>
   <span class="hljs-keyword">FROM</span>
     <span class="hljs-keyword">model</span> p
     <span class="hljs-keyword">LEFT</span> <span 
class="hljs-keyword">OUTER</span> <span class="hljs-keyword">JOIN</span> <span 
class="hljs-comment">-- CROSS JOIN</span>
@@ -2365,6 +2416,7 @@ usage: 
train_randomforest_classifier(array&lt;double|string&gt; features, int
   <span class="hljs-keyword">rowid</span>
 ;
 </code></pre>
+<div class="panel panel-warning"><div class="panel-heading"><h3 
class="panel-title" id="caution"><i class="fa fa-exclamation-triangle"></i> 
Caution</h3></div><div class="panel-body"><p><code>tree_predict_v1</code> is 
for the backward compatibility for using prediction models built before 
<code>v0.5-rc.1</code> on <code>v0.5-rc.1</code> or later.</p></div></div>
 <h3 id="parallelize-prediction">Parallelize Prediction</h3>
 <p>The following query runs predictions in N-parallel. It would reduce elapsed 
time for prediction almost by N.</p>
 <pre><code class="lang-sql"><span class="hljs-keyword">SET</span> 
hivevar:classification=<span class="hljs-literal">true</span>;
@@ -2383,15 +2435,15 @@ usage: 
train_randomforest_classifier(array&lt;double|string&gt; features, int
 <span class="hljs-keyword">FROM</span> (
   <span class="hljs-keyword">SELECT</span>
     t.<span class="hljs-keyword">rowid</span>, 
-    <span class="hljs-comment">-- hivemall v0.4.1-alpha.2 and before</span>
-    <span class="hljs-comment">-- tree_predict(p.pred_model, t.features, 
${classification}) as predicted</span>
     <span class="hljs-comment">-- hivemall v0.4.1 and later</span>
     <span class="hljs-comment">-- tree_predict(p.model_id, p.model_type, 
p.pred_model, t.features, ${classification}) as predicted</span>
     <span class="hljs-comment">-- hivemall v0.5-rc.1 or later</span>
     p.model_weight,
     tree_predict(p.model_id, p.<span class="hljs-keyword">model</span>, 
t.features, ${classification}) <span class="hljs-keyword">as</span> predicted
+    <span class="hljs-comment">-- tree_predict_v1(p.model_id, p.model_type, 
p.pred_model, t.features, ${classification}) as predicted as predicted -- to 
use the old model in v0.5-rc.1 or later</span>
   <span class="hljs-keyword">FROM</span> (
     <span class="hljs-keyword">SELECT</span> 
+      <span class="hljs-comment">-- hivemall v0.4.1 and later</span>
       <span class="hljs-comment">-- model_id, model_type, pred_model</span>
       <span class="hljs-comment">-- hivemall v0.5-rc.1 or later</span>
       model_id, model_weight, <span class="hljs-keyword">model</span>
@@ -2401,8 +2453,7 @@ usage: 
train_randomforest_classifier(array&lt;double|string&gt; features, int
   <span class="hljs-keyword">LEFT</span> <span 
class="hljs-keyword">OUTER</span> <span class="hljs-keyword">JOIN</span> 
training t
 ) t1
 <span class="hljs-keyword">group</span> <span class="hljs-keyword">by</span>
-  <span class="hljs-keyword">rowid</span>
-;
+  <span class="hljs-keyword">rowid</span>;
 </code></pre>
 <h1 id="evaluation">Evaluation</h1>
 <pre><code class="lang-sql"><span class="hljs-keyword">select</span> <span 
class="hljs-keyword">count</span>(<span class="hljs-number">1</span>) <span 
class="hljs-keyword">from</span> training;
@@ -2489,8 +2540,8 @@ usage: tree_export(string model, const string options, 
optional
  8 -&gt; 12;
 }
 </code></pre><p><img src="../resources/images/iris.png" alt="Iris Graphvis 
output"></p>
-<p>You can draw a graph by <code>dot -Tpng iris.dot -o iris.png</code> or 
using <a href="http://viz-js.com/"; target="_blank">Viz.js</a>.
-<div id="page-footer" class="localized-footer"><hr><!--
+<p>You can draw a graph by <code>dot -Tpng iris.dot -o iris.png</code> or 
using <a href="http://viz-js.com/"; target="_blank">Viz.js</a>.</p>
+<p><div id="page-footer" class="localized-footer"><hr><!--
   Licensed to the Apache Software Foundation (ASF) under one
   or more contributor license agreements.  See the NOTICE file
   distributed with this work for additional information
@@ -2545,7 +2596,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
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@@ -2224,7 +2254,7 @@ CLUSTER <span class="hljs-keyword">BY</span> <span 
class="hljs-keyword">rand</sp
   <span class="hljs-comment">-- cast(extract_feature(feature) as int) as 
feature,</span>
   <span class="hljs-comment">-- extract_weight(feature) as value</span>
 <span class="hljs-keyword">from</span> 
-  news20mc_test LATERAL <span class="hljs-keyword">VIEW</span> 
explode(addBias(features)) t <span class="hljs-keyword">AS</span> feature;
+  news20mc_test LATERAL <span class="hljs-keyword">VIEW</span> 
explode(add_bias(features)) t <span class="hljs-keyword">AS</span> feature;
 </code></pre>
 <p><div id="page-footer" class="localized-footer"><hr><!--
   Licensed to the Apache Software Foundation (ASF) under one
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Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/multiclass/news20_ensemble.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_ensemble.html 
b/userguide/multiclass/news20_ensemble.html
index c44c0cb..8a8b467 100644
--- a/userguide/multiclass/news20_ensemble.html
+++ b/userguide/multiclass/news20_ensemble.html
@@ -244,7 +244,7 @@
                     
                         <b>1.3.1.</b>
                     
-                    Explicit addBias() for better prediction
+                    Explicit add_bias() for better prediction
             
                 </a>
             
@@ -707,14 +707,14 @@
         
         
     
-        <li class="chapter " data-level="4.1" 
data-path="../eval/stat_eval.html">
+        <li class="chapter " data-level="4.1" 
data-path="../eval/binary_classification_measures.html">
             
-                <a href="../eval/stat_eval.html">
+                <a href="../eval/binary_classification_measures.html">
             
                     
                         <b>4.1.</b>
                     
-                    Statistical evaluation of a prediction model
+                    Binary Classification Metrics
             
                 </a>
             
@@ -743,13 +743,43 @@
             
         </li>
     
-        <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+        <li class="chapter " data-level="4.2" 
data-path="../eval/multilabel_classification_measures.html">
             
-                <a href="../eval/rank.html">
+                <a href="../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" 
data-path="../eval/regression.html">
+            
+                <a href="../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+            
+                <a href="../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
@@ -758,12 +788,12 @@
             
         </li>
     
-        <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+        <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
             
                 <a href="../eval/datagen.html">
             
                     
-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="4.3.1" 
data-path="../eval/lr_datagen.html">
+        <li class="chapter " data-level="4.5.1" 
data-path="../eval/lr_datagen.html">
             
                 <a href="../eval/lr_datagen.html">
             
                     
-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
                     Logistic Regression data generation
             
@@ -2178,20 +2208,20 @@ source /home/myui/tmp/define-all.hive;
  voted_avg(weight) <span class="hljs-keyword">as</span> weight
 <span class="hljs-keyword">from</span> 
  (<span class="hljs-keyword">select</span> 
-     <span class="hljs-comment">-- 
train_multiclass_cw(addBias(features),label) as (label,feature,weight)      -- 
hivemall v0.1</span>
-     train_multiclass_cw(addBias(features),label) <span 
class="hljs-keyword">as</span> (label,feature,weight,covar)   <span 
class="hljs-comment">-- hivemall v0.2 or later</span>
+     <span class="hljs-comment">-- 
train_multiclass_cw(add_bias(features),label) as (label,feature,weight)      -- 
hivemall v0.1</span>
+     train_multiclass_cw(add_bias(features),label) <span 
class="hljs-keyword">as</span> (label,feature,weight,covar)   <span 
class="hljs-comment">-- hivemall v0.2 or later</span>
   <span class="hljs-keyword">from</span> 
      news20mc_train_x3
   <span class="hljs-keyword">union</span> all
   <span class="hljs-keyword">select</span> 
-     <span class="hljs-comment">-- 
train_multiclass_arow(addBias(features),label) as (label,feature,weight)    -- 
hivemall v0.1</span>
-     train_multiclass_arow(addBias(features),label) <span 
class="hljs-keyword">as</span> (label,feature,weight,covar) <span 
class="hljs-comment">-- hivemall v0.2 or later</span>
+     <span class="hljs-comment">-- 
train_multiclass_arow(add_bias(features),label) as (label,feature,weight)    -- 
hivemall v0.1</span>
+     train_multiclass_arow(add_bias(features),label) <span 
class="hljs-keyword">as</span> (label,feature,weight,covar) <span 
class="hljs-comment">-- hivemall v0.2 or later</span>
   <span class="hljs-keyword">from</span> 
      news20mc_train_x3
   <span class="hljs-keyword">union</span> all
   <span class="hljs-keyword">select</span> 
-     <span class="hljs-comment">-- 
train_multiclass_scw(addBias(features),label) as (label,feature,weight)     -- 
hivemall v0.1</span>
-     train_multiclass_scw(addBias(features),label) <span 
class="hljs-keyword">as</span> (label,feature,weight,covar)  <span 
class="hljs-comment">-- hivemall v0.2 or later</span>
+     <span class="hljs-comment">-- 
train_multiclass_scw(add_bias(features),label) as (label,feature,weight)     -- 
hivemall v0.1</span>
+     train_multiclass_scw(add_bias(features),label) <span 
class="hljs-keyword">as</span> (label,feature,weight,covar)  <span 
class="hljs-comment">-- hivemall v0.2 or later</span>
   <span class="hljs-keyword">from</span> 
      news20mc_train_x3
  ) t 
@@ -2402,7 +2432,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/multiclass/news20_one-vs-the-rest.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_one-vs-the-rest.html 
b/userguide/multiclass/news20_one-vs-the-rest.html
index b585916..44900b7 100644
--- a/userguide/multiclass/news20_one-vs-the-rest.html
+++ b/userguide/multiclass/news20_one-vs-the-rest.html
@@ -244,7 +244,7 @@
                     
                         <b>1.3.1.</b>
                     
-                    Explicit addBias() for better prediction
+                    Explicit add_bias() for better prediction
             
                 </a>
             
@@ -707,14 +707,14 @@
         
         
     
-        <li class="chapter " data-level="4.1" 
data-path="../eval/stat_eval.html">
+        <li class="chapter " data-level="4.1" 
data-path="../eval/binary_classification_measures.html">
             
-                <a href="../eval/stat_eval.html">
+                <a href="../eval/binary_classification_measures.html">
             
                     
                         <b>4.1.</b>
                     
-                    Statistical evaluation of a prediction model
+                    Binary Classification Metrics
             
                 </a>
             
@@ -743,13 +743,43 @@
             
         </li>
     
-        <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+        <li class="chapter " data-level="4.2" 
data-path="../eval/multilabel_classification_measures.html">
             
-                <a href="../eval/rank.html">
+                <a href="../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" 
data-path="../eval/regression.html">
+            
+                <a href="../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+            
+                <a href="../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
@@ -758,12 +788,12 @@
             
         </li>
     
-        <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+        <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
             
                 <a href="../eval/datagen.html">
             
                     
-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="4.3.1" 
data-path="../eval/lr_datagen.html">
+        <li class="chapter " data-level="4.5.1" 
data-path="../eval/lr_datagen.html">
             
                 <a href="../eval/lr_datagen.html">
             
                     
-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
                     Logistic Regression data generation
             
@@ -2543,7 +2573,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/multiclass/news20_one-vs-the-rest_dataset.html
----------------------------------------------------------------------
diff --git a/userguide/multiclass/news20_one-vs-the-rest_dataset.html 
b/userguide/multiclass/news20_one-vs-the-rest_dataset.html
index 242c027..9b46817 100644
--- a/userguide/multiclass/news20_one-vs-the-rest_dataset.html
+++ b/userguide/multiclass/news20_one-vs-the-rest_dataset.html
@@ -244,7 +244,7 @@
                     
                         <b>1.3.1.</b>
                     
-                    Explicit addBias() for better prediction
+                    Explicit add_bias() for better prediction
             
                 </a>
             
@@ -707,14 +707,14 @@
         
         
     
-        <li class="chapter " data-level="4.1" 
data-path="../eval/stat_eval.html">
+        <li class="chapter " data-level="4.1" 
data-path="../eval/binary_classification_measures.html">
             
-                <a href="../eval/stat_eval.html">
+                <a href="../eval/binary_classification_measures.html">
             
                     
                         <b>4.1.</b>
                     
-                    Statistical evaluation of a prediction model
+                    Binary Classification Metrics
             
                 </a>
             
@@ -743,13 +743,43 @@
             
         </li>
     
-        <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+        <li class="chapter " data-level="4.2" 
data-path="../eval/multilabel_classification_measures.html">
             
-                <a href="../eval/rank.html">
+                <a href="../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" 
data-path="../eval/regression.html">
+            
+                <a href="../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+            
+                <a href="../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
@@ -758,12 +788,12 @@
             
         </li>
     
-        <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+        <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
             
                 <a href="../eval/datagen.html">
             
                     
-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="4.3.1" 
data-path="../eval/lr_datagen.html">
+        <li class="chapter " data-level="4.5.1" 
data-path="../eval/lr_datagen.html">
             
                 <a href="../eval/lr_datagen.html">
             
                     
-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
                     Logistic Regression data generation
             
@@ -2174,7 +2204,7 @@ source /home/myui/tmp/define-all.hive;
 <p><a 
href="https://github.com/myui/hivemall/blob/master/resources/misc/one-vs-rest.awk";
 target="_blank">one-vs-rest.awk</a></p>
 <pre><code>create or replace view news20_onevsrest_train
 as
-select transform(${possible_labels}, rowid, label, addBias(features))
+select transform(${possible_labels}, rowid, label, add_bias(features))
   ROW FORMAT DELIMITED
     FIELDS TERMINATED BY &quot;\t&quot;
     COLLECTION ITEMS TERMINATED BY &quot;,&quot;
@@ -2253,7 +2283,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
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