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    <title>topic Re: How to infer the online feature store table via an mlflow registered model, which is deployed to a sagemaker endpoint? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/26412#M18472</link>
    <description>&lt;P&gt;Thanks for sharing [this](&lt;A href="http://www.google.com/" alt="http://www.google.com/" target="_blank"&gt;http://www.google.com&lt;/A&gt;) article&lt;/P&gt;</description>
    <pubDate>Fri, 11 Mar 2022 06:49:38 GMT</pubDate>
    <dc:creator>Christian</dc:creator>
    <dc:date>2022-03-11T06:49:38Z</dc:date>
    <item>
      <title>How to infer the online feature store table via an mlflow registered model, which is deployed to a sagemaker endpoint?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/26408#M18468</link>
      <description>&lt;P&gt;Can an mlflow registered model automatically infer the online feature store table, if that model is trained and logged via a databricks feature store table and the table is pushed to an online feature store (like AWS RDS)?&lt;/P&gt;</description>
      <pubDate>Fri, 04 Mar 2022 13:42:36 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/26408#M18468</guid>
      <dc:creator>Maverick1</dc:creator>
      <dc:date>2022-03-04T13:42:36Z</dc:date>
    </item>
    <item>
      <title>Re: How to infer the online feature store table via an mlflow registered model, which is deployed to a sagemaker endpoint?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/26410#M18470</link>
      <description>&lt;P&gt;@Kaniz Fatma​&amp;nbsp;: Not working for Sagemaker and AWS RDS or Dynamo DB component.&lt;/P&gt;</description>
      <pubDate>Fri, 11 Mar 2022 06:02:51 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/26410#M18470</guid>
      <dc:creator>Maverick1</dc:creator>
      <dc:date>2022-03-11T06:02:51Z</dc:date>
    </item>
    <item>
      <title>Re: How to infer the online feature store table via an mlflow registered model, which is deployed to a sagemaker endpoint?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/26412#M18472</link>
      <description>&lt;P&gt;Thanks for sharing [this](&lt;A href="http://www.google.com/" alt="http://www.google.com/" target="_blank"&gt;http://www.google.com&lt;/A&gt;) article&lt;/P&gt;</description>
      <pubDate>Fri, 11 Mar 2022 06:49:38 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/26412#M18472</guid>
      <dc:creator>Christian</dc:creator>
      <dc:date>2022-03-11T06:49:38Z</dc:date>
    </item>
    <item>
      <title>Re: How to infer the online feature store table via an mlflow registered model, which is deployed to a sagemaker endpoint?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/26413#M18473</link>
      <description>&lt;P&gt;@Kaniz Fatma​&amp;nbsp;: I had been told recently that this feature is actually going to be released with the new version of DB runtime.  Could you please check which DBR will come with this feature ? and what is the timeline.?&lt;/P&gt;</description>
      <pubDate>Fri, 11 Mar 2022 07:36:34 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/26413#M18473</guid>
      <dc:creator>Maverick1</dc:creator>
      <dc:date>2022-03-11T07:36:34Z</dc:date>
    </item>
    <item>
      <title>Re: How to infer the online feature store table via an mlflow registered model, which is deployed to a sagemaker endpoint?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/26415#M18475</link>
      <description>&lt;P&gt;@Saurabh Verma​&amp;nbsp; let us know if you need further help on this! Thanks.&lt;/P&gt;</description>
      <pubDate>Wed, 16 Mar 2022 05:27:43 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/26415#M18475</guid>
      <dc:creator>Atanu</dc:creator>
      <dc:date>2022-03-16T05:27:43Z</dc:date>
    </item>
    <item>
      <title>Re: How to infer the online feature store table via an mlflow registered model, which is deployed to a sagemaker endpoint?</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/26417#M18477</link>
      <description>&lt;P&gt;@Atanu Sarkar​&amp;nbsp;:  Your colleague @Kaniz Fatma​&amp;nbsp; is looking for an answer. Maybe you can also help her.&lt;/P&gt;</description>
      <pubDate>Wed, 16 Mar 2022 05:55:31 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/26417#M18477</guid>
      <dc:creator>Maverick1</dc:creator>
      <dc:date>2022-03-16T05:55:31Z</dc:date>
    </item>
    <item>
      <title>Re: How to infer the online feature store table via an mlflow registered model, which is deployed to</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/117807#M45573</link>
      <description>&lt;P&gt;Thanks for this&lt;/P&gt;</description>
      <pubDate>Tue, 06 May 2025 06:05:09 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-infer-the-online-feature-store-table-via-an-mlflow/m-p/117807#M45573</guid>
      <dc:creator>Janifer45</dc:creator>
      <dc:date>2025-05-06T06:05:09Z</dc:date>
    </item>
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