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    <title>topic When to use uniform vs log-uniform in Hyperopt? in Machine Learning</title>
    <link>https://community.databricks.com/t5/machine-learning/when-to-use-uniform-vs-log-uniform-in-hyperopt/m-p/21423#M1171</link>
    <description>&lt;P&gt;Hyperopt offers&amp;nbsp;&lt;A href="https://github.com/hyperopt/hyperopt/wiki/FMin#21-parameter-expressions" alt="https://github.com/hyperopt/hyperopt/wiki/FMin#21-parameter-expressions" target="_blank"&gt;hp.uniform&lt;/A&gt;&amp;nbsp;and hp.loguniform, both of which produce real values in a min/max range. hp.loguniform is more suitable when one might choose a geometric series of values to try (0.001, 0.01, 0.1) rather than arithmetic (0.1, 0.2, 0.3). Which one is more suitable depends on the context, and typically does not make a large difference, but is worth considering.&lt;/P&gt;&lt;P&gt;&lt;A href="https://databricks.com/blog/2021/04/15/how-not-to-tune-your-model-with-hyperopt.html" target="test_blank"&gt;https://databricks.com/blog/2021/04/15/how-not-to-tune-your-model-with-hyperopt.html&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Wed, 23 Jun 2021 14:38:55 GMT</pubDate>
    <dc:creator>User16789201666</dc:creator>
    <dc:date>2021-06-23T14:38:55Z</dc:date>
    <item>
      <title>When to use uniform vs log-uniform in Hyperopt?</title>
      <link>https://community.databricks.com/t5/machine-learning/when-to-use-uniform-vs-log-uniform-in-hyperopt/m-p/21423#M1171</link>
      <description>&lt;P&gt;Hyperopt offers&amp;nbsp;&lt;A href="https://github.com/hyperopt/hyperopt/wiki/FMin#21-parameter-expressions" alt="https://github.com/hyperopt/hyperopt/wiki/FMin#21-parameter-expressions" target="_blank"&gt;hp.uniform&lt;/A&gt;&amp;nbsp;and hp.loguniform, both of which produce real values in a min/max range. hp.loguniform is more suitable when one might choose a geometric series of values to try (0.001, 0.01, 0.1) rather than arithmetic (0.1, 0.2, 0.3). Which one is more suitable depends on the context, and typically does not make a large difference, but is worth considering.&lt;/P&gt;&lt;P&gt;&lt;A href="https://databricks.com/blog/2021/04/15/how-not-to-tune-your-model-with-hyperopt.html" target="test_blank"&gt;https://databricks.com/blog/2021/04/15/how-not-to-tune-your-model-with-hyperopt.html&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 23 Jun 2021 14:38:55 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/when-to-use-uniform-vs-log-uniform-in-hyperopt/m-p/21423#M1171</guid>
      <dc:creator>User16789201666</dc:creator>
      <dc:date>2021-06-23T14:38:55Z</dc:date>
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