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    <title>topic Re: Problems with xgboost.spark model loading from MLflow. in Machine Learning</title>
    <link>https://community.databricks.com/t5/machine-learning/problems-with-xgboost-spark-model-loading-from-mlflow/m-p/67364#M3221</link>
    <description>&lt;P&gt;Thank you very much&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/41845"&gt;@Data_Cowboy&lt;/a&gt;&amp;nbsp;!!! I had the same issue. I even had 14 TiB &lt;span class="lia-unicode-emoji" title=":grinning_face_with_smiling_eyes:"&gt;😄&lt;/span&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Databricks should really fix this&lt;/P&gt;</description>
    <pubDate>Fri, 26 Apr 2024 09:07:54 GMT</pubDate>
    <dc:creator>dbx-user7354</dc:creator>
    <dc:date>2024-04-26T09:07:54Z</dc:date>
    <item>
      <title>Problems with xgboost.spark model loading from MLflow.</title>
      <link>https://community.databricks.com/t5/machine-learning/problems-with-xgboost-spark-model-loading-from-mlflow/m-p/7580#M355</link>
      <description>&lt;P&gt;When loading an xgboost model from mlflow following the provided instructions in Databricks hosted MLflow the input sizes I am showing on the job are over 1 TB. Is anyone else using an xgboost.spark model and noticing the same behavior? &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Below are some screenshots showing the input size. The job has been running over 15 minutes just to load the model from MLflow. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="image.png"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/516iBFBB34BA4419623B/image-size/large?v=v2&amp;amp;px=999" role="button" title="image.png" alt="image.png" /&gt;&lt;/span&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="image"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/527i57B9526C9FA3C91F/image-size/large?v=v2&amp;amp;px=999" role="button" title="image" alt="image" /&gt;&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 16 Mar 2023 21:12:01 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/problems-with-xgboost-spark-model-loading-from-mlflow/m-p/7580#M355</guid>
      <dc:creator>Data_Cowboy</dc:creator>
      <dc:date>2023-03-16T21:12:01Z</dc:date>
    </item>
    <item>
      <title>Re: Problems with xgboost.spark model loading from MLflow.</title>
      <link>https://community.databricks.com/t5/machine-learning/problems-with-xgboost-spark-model-loading-from-mlflow/m-p/7581#M356</link>
      <description>&lt;P&gt;Getting rid of the call to the full dbfs artifact path seemed to fix the issue for me. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="image"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/525i15A0375E1FC2E038/image-size/large?v=v2&amp;amp;px=999" role="button" title="image" alt="image" /&gt;&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 16 Mar 2023 21:19:45 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/problems-with-xgboost-spark-model-loading-from-mlflow/m-p/7581#M356</guid>
      <dc:creator>Data_Cowboy</dc:creator>
      <dc:date>2023-03-16T21:19:45Z</dc:date>
    </item>
    <item>
      <title>Re: Problems with xgboost.spark model loading from MLflow.</title>
      <link>https://community.databricks.com/t5/machine-learning/problems-with-xgboost-spark-model-loading-from-mlflow/m-p/67364#M3221</link>
      <description>&lt;P&gt;Thank you very much&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/41845"&gt;@Data_Cowboy&lt;/a&gt;&amp;nbsp;!!! I had the same issue. I even had 14 TiB &lt;span class="lia-unicode-emoji" title=":grinning_face_with_smiling_eyes:"&gt;😄&lt;/span&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Databricks should really fix this&lt;/P&gt;</description>
      <pubDate>Fri, 26 Apr 2024 09:07:54 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/problems-with-xgboost-spark-model-loading-from-mlflow/m-p/67364#M3221</guid>
      <dc:creator>dbx-user7354</dc:creator>
      <dc:date>2024-04-26T09:07:54Z</dc:date>
    </item>
    <item>
      <title>Re: Problems with xgboost.spark model loading from MLflow.</title>
      <link>https://community.databricks.com/t5/machine-learning/problems-with-xgboost-spark-model-loading-from-mlflow/m-p/67391#M3223</link>
      <description>&lt;P&gt;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/96791"&gt;@dbx-user7354&lt;/a&gt;&amp;nbsp;Glad to hear this solution worked out for you. Makes me feel good that I came back and answered my own post&amp;nbsp;&lt;span class="lia-unicode-emoji" title=":grinning_face:"&gt;😀&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 26 Apr 2024 12:38:08 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/problems-with-xgboost-spark-model-loading-from-mlflow/m-p/67391#M3223</guid>
      <dc:creator>Data_Cowboy</dc:creator>
      <dc:date>2024-04-26T12:38:08Z</dc:date>
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