https://community.databricks.com/t5/data-engineering/hyperopt-how-to-setup-hyper-parameter-for-categorical-vs/m-p/21433#M14607 <P>&nbsp;hp.quniform (“quantized uniform”) or hp.qloguniform to generate integers. hp.choice&nbsp;<I>is</I>&nbsp;the right choice when, for example, choosing among categorical choices (which might in some situations even be integers, but not usually).</P><P><A href="https://databricks.com/blog/2021/04/15/how-not-to-tune-your-model-with-hyperopt.html" target="test_blank">https://databricks.com/blog/2021/04/15/how-not-to-tune-your-model-with-hyperopt.html</A></P> Wed, 23 Jun 2021 14:45:18 GMT User16789201666 2021-06-23T14:45:18Z https://community.databricks.com/t5/data-engineering/hyperopt-how-to-setup-hyper-parameter-for-categorical-vs/m-p/21433#M14607 <P>&nbsp;hp.quniform (“quantized uniform”) or hp.qloguniform to generate integers. hp.choice&nbsp;<I>is</I>&nbsp;the right choice when, for example, choosing among categorical choices (which might in some situations even be integers, but not usually).</P><P><A href="https://databricks.com/blog/2021/04/15/how-not-to-tune-your-model-with-hyperopt.html" target="test_blank">https://databricks.com/blog/2021/04/15/how-not-to-tune-your-model-with-hyperopt.html</A></P> Wed, 23 Jun 2021 14:45:18 GMT https://community.databricks.com/t5/data-engineering/hyperopt-how-to-setup-hyper-parameter-for-categorical-vs/m-p/21433#M14607 User16789201666 2021-06-23T14:45:18Z