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    <title>OpenText Analytics Database 26.2.x – Machine learning functions</title>
    <link>/en/sql-reference/functions/ml-functions/</link>
    <description>Recent content in Machine learning functions on OpenText Analytics Database 26.2.x</description>
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    <item>
      <title>Sql-Reference: Data preparation</title>
      <link>/en/sql-reference/functions/ml-functions/data-preparation/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/en/sql-reference/functions/ml-functions/data-preparation/</guid>
      <description>
        
        
        &lt;p&gt;OpenText™ Analytics Database supports machine learning functions that prepare data as needed before subjecting it to analysis.&lt;/p&gt;

      </description>
    </item>
    
    <item>
      <title>Sql-Reference: Machine learning algorithms</title>
      <link>/en/sql-reference/functions/ml-functions/ml-algorithms/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/en/sql-reference/functions/ml-functions/ml-algorithms/</guid>
      <description>
        
        
        &lt;p&gt;OpenText™ Analytics Database supports a full range of machine learning functions that train a model on a set of data, and return a model that can be saved for later execution.&lt;/p&gt;
&lt;p&gt;These functions require the following privileges for non-superusers:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;CREATE privileges on the schema where the model is created&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;SELECT privileges on the input relation&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;

&lt;div class=&#34;alert admonition note&#34; role=&#34;alert&#34;&gt;
&lt;h4 class=&#34;admonition-head&#34;&gt;Note&lt;/h4&gt;

&lt;p&gt;Machine learning algorithms contain a subset of four &lt;a href=&#34;../../../../en/data-analysis/ml-predictive-analytics/classification-algorithms/&#34;&gt;classification&lt;/a&gt; functions:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href=&#34;../../../../en/sql-reference/functions/ml-functions/ml-algorithms/logistic-reg/#&#34;&gt;LOGISTIC_REG&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href=&#34;../../../../en/sql-reference/functions/ml-functions/ml-algorithms/naive-bayes/#&#34;&gt;NAIVE_BAYES&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href=&#34;../../../../en/sql-reference/functions/ml-functions/ml-algorithms/rf-classifier/#&#34;&gt;RF_CLASSIFIER&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href=&#34;../../../../en/sql-reference/functions/ml-functions/ml-algorithms/svm-classifier/#&#34;&gt;SVM_CLASSIFIER&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;


&lt;/div&gt;

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    <item>
      <title>Sql-Reference: Model evaluation</title>
      <link>/en/sql-reference/functions/ml-functions/model-evaluation/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/en/sql-reference/functions/ml-functions/model-evaluation/</guid>
      <description>
        
        
        &lt;p&gt;A set of OpenText™ Analytics Database machine learning functions evaluate the prediction data that is generated by trained models, or return information about the models themselves.&lt;/p&gt;

      </description>
    </item>
    
    <item>
      <title>Sql-Reference: Model management</title>
      <link>/en/sql-reference/functions/ml-functions/model-management/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/en/sql-reference/functions/ml-functions/model-management/</guid>
      <description>
        
        
        &lt;p&gt;OpenText™ Analytics Database provides several functions for managing models.&lt;/p&gt;

      </description>
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    <item>
      <title>Sql-Reference: Transformation functions</title>
      <link>/en/sql-reference/functions/ml-functions/transformation-functions/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>/en/sql-reference/functions/ml-functions/transformation-functions/</guid>
      <description>
        
        
        &lt;p&gt;The machine learning API includes a set of UDx functions that transform the columns of each input row to one or more corresponding output columns. These transformations follow rules that are defined in models that were created earlier. For example, 
&lt;code&gt;&lt;a href=&#34;../../../../en/sql-reference/functions/ml-functions/transformation-functions/apply-svd/#&#34;&gt;APPLY_SVD&lt;/a&gt;&lt;/code&gt; uses an SVD model to transform input data.&lt;/p&gt;
&lt;p&gt;Unless otherwise indicated, these functions require the following privileges for non-superusers:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;USAGE privileges on the model&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;SELECT privileges on the input relation&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In general, given an invalid input row, the return value for these functions is NULL.&lt;/p&gt;

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