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    <title>topic Splunk Machine Learning Toolkit: Calibrating Density Function Algorithm in Splunk ITSI</title>
    <link>https://community.splunk.com/t5/Splunk-ITSI/Splunk-Machine-Learning-Toolkit-Calibrating-Density-Function/m-p/462500#M2387</link>
    <description>&lt;P&gt;In the anomaly detection process, density function algorithm outputs isOutlier field with values 0 (Normal) and 1 (Abnormal) for each data point depending on the KPI behavior and historical data:&lt;/P&gt;

&lt;OL&gt;
&lt;LI&gt;Is there anyway to calibrate the density function algorithm where the data point can show Normal, Warning and Critical zones based on the severity of the anomaly?&lt;/LI&gt;
&lt;LI&gt;How to output the probability densities of the data points and graph them like kernel distributions?&lt;/LI&gt;
&lt;/OL&gt;</description>
    <pubDate>Tue, 27 Aug 2019 14:48:25 GMT</pubDate>
    <dc:creator>sc2019</dc:creator>
    <dc:date>2019-08-27T14:48:25Z</dc:date>
    <item>
      <title>Splunk Machine Learning Toolkit: Calibrating Density Function Algorithm</title>
      <link>https://community.splunk.com/t5/Splunk-ITSI/Splunk-Machine-Learning-Toolkit-Calibrating-Density-Function/m-p/462500#M2387</link>
      <description>&lt;P&gt;In the anomaly detection process, density function algorithm outputs isOutlier field with values 0 (Normal) and 1 (Abnormal) for each data point depending on the KPI behavior and historical data:&lt;/P&gt;

&lt;OL&gt;
&lt;LI&gt;Is there anyway to calibrate the density function algorithm where the data point can show Normal, Warning and Critical zones based on the severity of the anomaly?&lt;/LI&gt;
&lt;LI&gt;How to output the probability densities of the data points and graph them like kernel distributions?&lt;/LI&gt;
&lt;/OL&gt;</description>
      <pubDate>Tue, 27 Aug 2019 14:48:25 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Splunk-ITSI/Splunk-Machine-Learning-Toolkit-Calibrating-Density-Function/m-p/462500#M2387</guid>
      <dc:creator>sc2019</dc:creator>
      <dc:date>2019-08-27T14:48:25Z</dc:date>
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