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    <title>topic Re: tuning machine learning toolkit in Knowledge Management</title>
    <link>https://community.splunk.com/t5/Knowledge-Management/tuning-machine-learning-toolkit/m-p/389443#M6503</link>
    <description>&lt;P&gt;I'm not sure what you mean by tune it.. Are you referring to building a model inside the MLTK? If so, you should checkout the Showcase examples before doing anything else. This will walk you through common use cases and help with deciding which algorithm to use. It will also show you the process for using the MLTK and how to read the feedback. When you're ready to apply it to your data, you go to the Experiments tab and build an experiment. This will persist your results from each fit you run so you can take the best one while experimenting&lt;/P&gt;</description>
    <pubDate>Fri, 15 Feb 2019 15:19:43 GMT</pubDate>
    <dc:creator>skoelpin</dc:creator>
    <dc:date>2019-02-15T15:19:43Z</dc:date>
    <item>
      <title>tuning machine learning toolkit</title>
      <link>https://community.splunk.com/t5/Knowledge-Management/tuning-machine-learning-toolkit/m-p/389442#M6502</link>
      <description>&lt;P&gt;I installed mltk app and PSC add on   but I dont know how can I tune it with my own data as it use itself lookups, how can I define models and use it base on my network info?&lt;/P&gt;</description>
      <pubDate>Fri, 15 Feb 2019 14:52:30 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Knowledge-Management/tuning-machine-learning-toolkit/m-p/389442#M6502</guid>
      <dc:creator>sabaKhadivi</dc:creator>
      <dc:date>2019-02-15T14:52:30Z</dc:date>
    </item>
    <item>
      <title>Re: tuning machine learning toolkit</title>
      <link>https://community.splunk.com/t5/Knowledge-Management/tuning-machine-learning-toolkit/m-p/389443#M6503</link>
      <description>&lt;P&gt;I'm not sure what you mean by tune it.. Are you referring to building a model inside the MLTK? If so, you should checkout the Showcase examples before doing anything else. This will walk you through common use cases and help with deciding which algorithm to use. It will also show you the process for using the MLTK and how to read the feedback. When you're ready to apply it to your data, you go to the Experiments tab and build an experiment. This will persist your results from each fit you run so you can take the best one while experimenting&lt;/P&gt;</description>
      <pubDate>Fri, 15 Feb 2019 15:19:43 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Knowledge-Management/tuning-machine-learning-toolkit/m-p/389443#M6503</guid>
      <dc:creator>skoelpin</dc:creator>
      <dc:date>2019-02-15T15:19:43Z</dc:date>
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