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    <title>topic Failure in Databricks Serving endpoint &amp;lt;build log says Pip failed due to conflicting dependency.&amp;gt; in Machine Learning</title>
    <link>https://community.databricks.com/t5/machine-learning/failure-in-databricks-serving-endpoint-lt-build-log-says-pip/m-p/4005#M174</link>
    <description>&lt;P&gt;Hello All,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;We are trying to deploy some models using Databricks Serving endpoint, &lt;/P&gt;&lt;P&gt;But while deploying the artifact created during experiment run the serving endpoint build log says Pip failed due to conflicting dependency.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;The model is logged in experiment we are able to use that logged model to do prediction within Databricks notebook:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;But the same model when using for serving endpoint fails due to conflicting dependencies in requirements file which was automatically generated using model experiment.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;What is the correct way to navigate this scenario? do we need to explicity pass pip dependency while running the experiment ? But that is not recommeded approach.&lt;/P&gt;&lt;P&gt;How to know which dependency would be required by Databrick Service endpoint ?&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Thu, 25 May 2023 09:14:34 GMT</pubDate>
    <dc:creator>Aarsh</dc:creator>
    <dc:date>2023-05-25T09:14:34Z</dc:date>
    <item>
      <title>Failure in Databricks Serving endpoint &lt;build log says Pip failed due to conflicting dependency.&gt;</title>
      <link>https://community.databricks.com/t5/machine-learning/failure-in-databricks-serving-endpoint-lt-build-log-says-pip/m-p/4005#M174</link>
      <description>&lt;P&gt;Hello All,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;We are trying to deploy some models using Databricks Serving endpoint, &lt;/P&gt;&lt;P&gt;But while deploying the artifact created during experiment run the serving endpoint build log says Pip failed due to conflicting dependency.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;The model is logged in experiment we are able to use that logged model to do prediction within Databricks notebook:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;But the same model when using for serving endpoint fails due to conflicting dependencies in requirements file which was automatically generated using model experiment.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;What is the correct way to navigate this scenario? do we need to explicity pass pip dependency while running the experiment ? But that is not recommeded approach.&lt;/P&gt;&lt;P&gt;How to know which dependency would be required by Databrick Service endpoint ?&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 25 May 2023 09:14:34 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/failure-in-databricks-serving-endpoint-lt-build-log-says-pip/m-p/4005#M174</guid>
      <dc:creator>Aarsh</dc:creator>
      <dc:date>2023-05-25T09:14:34Z</dc:date>
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