<?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 Re: What is the best method for bringing an already trained model into MLflow? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/what-is-the-best-method-for-bringing-an-already-trained-model/m-p/19247#M12883</link>
    <description>&lt;P&gt;If you can get the model into cloud storage and access the model via DBFS then you should be able to load the model as an object. Once it is loaded you can register it in MLflow or use it in an experiment run. &lt;/P&gt;</description>
    <pubDate>Fri, 30 Jul 2021 16:09:51 GMT</pubDate>
    <dc:creator>Ryan_Chynoweth</dc:creator>
    <dc:date>2021-07-30T16:09:51Z</dc:date>
    <item>
      <title>What is the best method for bringing an already trained model into MLflow?</title>
      <link>https://community.databricks.com/t5/data-engineering/what-is-the-best-method-for-bringing-an-already-trained-model/m-p/19246#M12882</link>
      <description>&lt;P&gt;I already have a trained and saved model that was created outside of MLflow. What is the best way to handle it if I want this model to be added to an MLflow experiment?&lt;/P&gt;</description>
      <pubDate>Fri, 25 Jun 2021 17:38:31 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/what-is-the-best-method-for-bringing-an-already-trained-model/m-p/19246#M12882</guid>
      <dc:creator>User16826992666</dc:creator>
      <dc:date>2021-06-25T17:38:31Z</dc:date>
    </item>
    <item>
      <title>Re: What is the best method for bringing an already trained model into MLflow?</title>
      <link>https://community.databricks.com/t5/data-engineering/what-is-the-best-method-for-bringing-an-already-trained-model/m-p/19247#M12883</link>
      <description>&lt;P&gt;If you can get the model into cloud storage and access the model via DBFS then you should be able to load the model as an object. Once it is loaded you can register it in MLflow or use it in an experiment run. &lt;/P&gt;</description>
      <pubDate>Fri, 30 Jul 2021 16:09:51 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/what-is-the-best-method-for-bringing-an-already-trained-model/m-p/19247#M12883</guid>
      <dc:creator>Ryan_Chynoweth</dc:creator>
      <dc:date>2021-07-30T16:09:51Z</dc:date>
    </item>
    <item>
      <title>Re: What is the best method for bringing an already trained model into MLflow?</title>
      <link>https://community.databricks.com/t5/data-engineering/what-is-the-best-method-for-bringing-an-already-trained-model/m-p/19248#M12884</link>
      <description>&lt;P&gt;&lt;A href="https://databricks.atlassian.net/wiki/spaces/UN/pages/1280411724/MLflow+FAQ#How-do-I-create-an-MLflow-run-from-a-model-I-have-trained-elsewhere" target="test_blank"&gt;https://databricks.atlassian.net/wiki/spaces/UN/pages/1280411724/MLflow+FAQ#How-do-I-create-an-MLflow-run-from-a-model-I-have-trained-elsewhere&lt;/A&gt;?&lt;/P&gt;</description>
      <pubDate>Mon, 07 Mar 2022 16:35:14 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/what-is-the-best-method-for-bringing-an-already-trained-model/m-p/19248#M12884</guid>
      <dc:creator>User16783853898</dc:creator>
      <dc:date>2022-03-07T16:35:14Z</dc:date>
    </item>
    <item>
      <title>Re: What is the best method for bringing an already trained model into MLflow?</title>
      <link>https://community.databricks.com/t5/data-engineering/what-is-the-best-method-for-bringing-an-already-trained-model/m-p/19249#M12885</link>
      <description>&lt;P&gt;Hi @Trevor Bishop​&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Just wanted to check in if you were able to resolve your issue or do you need more help? We'd love to hear from you.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;</description>
      <pubDate>Fri, 22 Apr 2022 14:11:52 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/what-is-the-best-method-for-bringing-an-already-trained-model/m-p/19249#M12885</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2022-04-22T14:11:52Z</dc:date>
    </item>
  </channel>
</rss>

