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Upgrading threadpoolctl, for instance, to 3.5.0 solves the issue. I also had some pipelines fail in Databricks, for example, dbr 13.3 ml uses threadpoolctl==2.2.0, using that version you can replicate the error locally.
What happened + What you expected to happen
Latest release of
statsforecast==1.7.7
and higher does not work with Databricks correctly.It might be a Databricks issue (most likely) but I'm reporting it here too. Downgrading the
statsforecast
to1.7.6
fixes the import:Versions / Dependencies
Click to expand
Dependencies: statsforecast==1.7.7 and (Databricks ML Runtime 14.3 LTS or Databricks Runtime 13.3 LTS)Reproducible example
Issue Severity
Low: It annoys or frustrates me.
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