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    <title>topic What is the best way to deal with pymc3 in MLFLOW models in databricks? in Machine Learning</title>
    <link>https://community.databricks.com/t5/machine-learning/what-is-the-best-way-to-deal-with-pymc3-in-mlflow-models-in/m-p/27730#M1574</link>
    <description>&lt;P&gt;Last week, we started with using mlflow within databricks. The bayesian models that we are using right now are the pymc3 models (https://docs.pymc.io/en/v3/index.html).&lt;/P&gt;&lt;P&gt;We could use the &lt;B&gt;experiment&lt;/B&gt; feature of databricks/mlflow to save the models as an artifact and then load them upon predicting. &lt;/P&gt;&lt;P&gt;However it would also be good to use the &lt;B&gt;models &lt;/B&gt;feature of databricks/mlflow. We could not find a way (and it seems not to be supported right now) to use this feature for pymc3. Anyone has an idea how we could still use this? &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;</description>
    <pubDate>Wed, 12 Oct 2022 18:01:06 GMT</pubDate>
    <dc:creator>Siebert_Looije</dc:creator>
    <dc:date>2022-10-12T18:01:06Z</dc:date>
    <item>
      <title>What is the best way to deal with pymc3 in MLFLOW models in databricks?</title>
      <link>https://community.databricks.com/t5/machine-learning/what-is-the-best-way-to-deal-with-pymc3-in-mlflow-models-in/m-p/27730#M1574</link>
      <description>&lt;P&gt;Last week, we started with using mlflow within databricks. The bayesian models that we are using right now are the pymc3 models (https://docs.pymc.io/en/v3/index.html).&lt;/P&gt;&lt;P&gt;We could use the &lt;B&gt;experiment&lt;/B&gt; feature of databricks/mlflow to save the models as an artifact and then load them upon predicting. &lt;/P&gt;&lt;P&gt;However it would also be good to use the &lt;B&gt;models &lt;/B&gt;feature of databricks/mlflow. We could not find a way (and it seems not to be supported right now) to use this feature for pymc3. Anyone has an idea how we could still use this? &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;</description>
      <pubDate>Wed, 12 Oct 2022 18:01:06 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/what-is-the-best-way-to-deal-with-pymc3-in-mlflow-models-in/m-p/27730#M1574</guid>
      <dc:creator>Siebert_Looije</dc:creator>
      <dc:date>2022-10-12T18:01:06Z</dc:date>
    </item>
    <item>
      <title>Re: What is the best way to deal with pymc3 in MLFLOW models in databricks?</title>
      <link>https://community.databricks.com/t5/machine-learning/what-is-the-best-way-to-deal-with-pymc3-in-mlflow-models-in/m-p/27731#M1575</link>
      <description>&lt;P&gt;Hi @Siebert Looije​&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Great to meet you, and thanks for your question!&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Let's see if your peers in the community have an answer to your question first. Or else bricksters will get back to you soon. &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 25 Nov 2022 06:34:08 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/what-is-the-best-way-to-deal-with-pymc3-in-mlflow-models-in/m-p/27731#M1575</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2022-11-25T06:34:08Z</dc:date>
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