<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic SD_PREDICTED_DELIVERY Predicted Delivery Processing Delay ML train failure in Artificial Intelligence Forum</title>
    <link>https://community.sap.com/t5/artificial-intelligence-forum/sd-predicted-delivery-predicted-delivery-processing-delay-ml-train-failure/m-p/12626027#M248</link>
    <description>&lt;P&gt;Hello,&lt;/P&gt;
  &lt;P&gt;I'm trying to use 'Predicted Delivery Processing Delay (PRDTDELIVPROCGDELAY)' and train the ML, but the train keeps failing saying ' We've noticed your training dataset has very few records'.&lt;/P&gt;
  &lt;P&gt;As I've already created more than 14,000 S/O and follow-up document such as outbound deliveries and PGI/billing were done, I don't think this is the dataset record issue. For Delivery Creation Delay Scenario which is under the same SD_Predicted_Delivery package, this scenario counts the dataset records between 14,000-15,000.&lt;/P&gt;
  &lt;P&gt;Is there anything I should do to train this ML scenario??&lt;/P&gt;
  &lt;P&gt;Thank you in advance&lt;/P&gt;</description>
    <pubDate>Mon, 14 Nov 2022 13:04:47 GMT</pubDate>
    <dc:creator>yejinshim</dc:creator>
    <dc:date>2022-11-14T13:04:47Z</dc:date>
    <item>
      <title>SD_PREDICTED_DELIVERY Predicted Delivery Processing Delay ML train failure</title>
      <link>https://community.sap.com/t5/artificial-intelligence-forum/sd-predicted-delivery-predicted-delivery-processing-delay-ml-train-failure/m-p/12626027#M248</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;
  &lt;P&gt;I'm trying to use 'Predicted Delivery Processing Delay (PRDTDELIVPROCGDELAY)' and train the ML, but the train keeps failing saying ' We've noticed your training dataset has very few records'.&lt;/P&gt;
  &lt;P&gt;As I've already created more than 14,000 S/O and follow-up document such as outbound deliveries and PGI/billing were done, I don't think this is the dataset record issue. For Delivery Creation Delay Scenario which is under the same SD_Predicted_Delivery package, this scenario counts the dataset records between 14,000-15,000.&lt;/P&gt;
  &lt;P&gt;Is there anything I should do to train this ML scenario??&lt;/P&gt;
  &lt;P&gt;Thank you in advance&lt;/P&gt;</description>
      <pubDate>Mon, 14 Nov 2022 13:04:47 GMT</pubDate>
      <guid>https://community.sap.com/t5/artificial-intelligence-forum/sd-predicted-delivery-predicted-delivery-processing-delay-ml-train-failure/m-p/12626027#M248</guid>
      <dc:creator>yejinshim</dc:creator>
      <dc:date>2022-11-14T13:04:47Z</dc:date>
    </item>
  </channel>
</rss>

