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    <title>topic Re: Distributed Optuna and MLflow in Machine Learning</title>
    <link>https://community.databricks.com/t5/machine-learning/distributed-optuna-and-mlflow/m-p/131161#M4290</link>
    <description>&lt;P&gt;No worries ☺️. If you end up building out a cool project with the Free Edition, I'm sure the community would love to hear about it. I've not got around to anything ML-related in Databricks yet, very eager though 🫡. There's a dedicated space for it&amp;nbsp;&lt;A href="https://community.databricks.com/t5/community-articles/bd-p/Knowledge-Sharing-Hub" target="_blank"&gt;https://community.databricks.com/t5/community-articles/bd-p/Knowledge-Sharing-Hub&lt;/A&gt;&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;Best of luck with the project.&lt;BR /&gt;&lt;BR /&gt;All the best,&lt;BR /&gt;BS&lt;/P&gt;</description>
    <pubDate>Sun, 07 Sep 2025 09:54:33 GMT</pubDate>
    <dc:creator>BS_THE_ANALYST</dc:creator>
    <dc:date>2025-09-07T09:54:33Z</dc:date>
    <item>
      <title>Distributed Optuna and MLflow</title>
      <link>https://community.databricks.com/t5/machine-learning/distributed-optuna-and-mlflow/m-p/131121#M4286</link>
      <description>&lt;P&gt;Hello All,&amp;nbsp;&lt;/P&gt;&lt;P&gt;I just tried running the following notebook (&lt;A href="https://docs.databricks.com/aws/en/notebooks/source/machine-learning/optuna-mlflow.html" target="_blank" rel="noopener"&gt;https://docs.databricks.com/aws/en/notebooks/source/machine-learning/optuna-mlflow.html&lt;/A&gt;)&amp;nbsp; on the Databricks Free Edition platform , through Microsoft Account Authentication. It takes 15 minutes to run 8 trials then outputs a&amp;nbsp;&lt;SPAN&gt;grpc_status:13 error before it breaks. Could this be because the distributed MlflowSparkStudy class cannot work on&amp;nbsp; the Free Edition, or is this an internal bug.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Thank you in advance !&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Edwin1_0-1757179781808.png" style="width: 818px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/19805iF9D4AD44069B3FD2/image-dimensions/818x323?v=v2" width="818" height="323" role="button" title="Edwin1_0-1757179781808.png" alt="Edwin1_0-1757179781808.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 06 Sep 2025 17:30:18 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/distributed-optuna-and-mlflow/m-p/131121#M4286</guid>
      <dc:creator>Edwin1</dc:creator>
      <dc:date>2025-09-06T17:30:18Z</dc:date>
    </item>
    <item>
      <title>Re: Distributed Optuna and MLflow</title>
      <link>https://community.databricks.com/t5/machine-learning/distributed-optuna-and-mlflow/m-p/131126#M4287</link>
      <description>&lt;P&gt;For what it's worth, I just realized the free edition is a single node cluster, so this is mute point anyway.&lt;/P&gt;&lt;P&gt;Thank you!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 06 Sep 2025 17:47:07 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/distributed-optuna-and-mlflow/m-p/131126#M4287</guid>
      <dc:creator>Edwin1</dc:creator>
      <dc:date>2025-09-06T17:47:07Z</dc:date>
    </item>
    <item>
      <title>Re: Distributed Optuna and MLflow</title>
      <link>https://community.databricks.com/t5/machine-learning/distributed-optuna-and-mlflow/m-p/131129#M4288</link>
      <description>&lt;P&gt;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/182848"&gt;@Edwin1&lt;/a&gt;&amp;nbsp;&lt;BR /&gt;I can appreciate this isn't a solution with proper reasoning but changing the following in your notebook, on the free edition, should allow you to use the notebook:&lt;BR /&gt;&amp;nbsp;&lt;U&gt;&lt;STRONG&gt;I reduced the number of trials and it worked&lt;/STRONG&gt;&lt;/U&gt; &lt;span class="lia-unicode-emoji" title=":thinking_face:"&gt;🤔&lt;/span&gt;.&lt;BR /&gt;&lt;BR /&gt;Best guess it's around the compute limitations? Not a definitive conclusion though.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="BS_THE_ANALYST_0-1757180931685.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/19807i98A81035608647D2/image-size/medium?v=v2&amp;amp;px=400" role="button" title="BS_THE_ANALYST_0-1757180931685.png" alt="BS_THE_ANALYST_0-1757180931685.png" /&gt;&lt;/span&gt;&lt;BR /&gt;&lt;BR /&gt;Here's AI's take on the situation:&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="BS_THE_ANALYST_1-1757181036157.png" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/19808i8F39892F5BBF7EC3/image-size/medium?v=v2&amp;amp;px=400" role="button" title="BS_THE_ANALYST_1-1757181036157.png" alt="BS_THE_ANALYST_1-1757181036157.png" /&gt;&lt;/span&gt;&lt;BR /&gt;&lt;BR /&gt;Hopefully that's a step in the right direction for you&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/182848"&gt;@Edwin1&lt;/a&gt;&amp;nbsp; ☺️.&lt;BR /&gt;&lt;BR /&gt;All the best,&lt;BR /&gt;BS&lt;/P&gt;</description>
      <pubDate>Sat, 06 Sep 2025 17:52:52 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/distributed-optuna-and-mlflow/m-p/131129#M4288</guid>
      <dc:creator>BS_THE_ANALYST</dc:creator>
      <dc:date>2025-09-06T17:52:52Z</dc:date>
    </item>
    <item>
      <title>Re: Distributed Optuna and MLflow</title>
      <link>https://community.databricks.com/t5/machine-learning/distributed-optuna-and-mlflow/m-p/131131#M4289</link>
      <description>&lt;P&gt;Great. Thank you. That worked. I still need more compute and networking resources to make it justifiable, but this confirms that it works !!!&lt;/P&gt;</description>
      <pubDate>Sat, 06 Sep 2025 18:22:40 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/distributed-optuna-and-mlflow/m-p/131131#M4289</guid>
      <dc:creator>Edwin1</dc:creator>
      <dc:date>2025-09-06T18:22:40Z</dc:date>
    </item>
    <item>
      <title>Re: Distributed Optuna and MLflow</title>
      <link>https://community.databricks.com/t5/machine-learning/distributed-optuna-and-mlflow/m-p/131161#M4290</link>
      <description>&lt;P&gt;No worries ☺️. If you end up building out a cool project with the Free Edition, I'm sure the community would love to hear about it. I've not got around to anything ML-related in Databricks yet, very eager though 🫡. There's a dedicated space for it&amp;nbsp;&lt;A href="https://community.databricks.com/t5/community-articles/bd-p/Knowledge-Sharing-Hub" target="_blank"&gt;https://community.databricks.com/t5/community-articles/bd-p/Knowledge-Sharing-Hub&lt;/A&gt;&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;Best of luck with the project.&lt;BR /&gt;&lt;BR /&gt;All the best,&lt;BR /&gt;BS&lt;/P&gt;</description>
      <pubDate>Sun, 07 Sep 2025 09:54:33 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/distributed-optuna-and-mlflow/m-p/131161#M4290</guid>
      <dc:creator>BS_THE_ANALYST</dc:creator>
      <dc:date>2025-09-07T09:54:33Z</dc:date>
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