https://community.databricks.com/t5/machine-learning/bug-mlflow-recipe/m-p/138028#M4417 <P>Hi&nbsp;<a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/117384">@Mario_D</a>&nbsp;,</P> <P>Thanks for bringing this to our attention, I will pass this information along to the appropriate team!</P> Thu, 06 Nov 2025 19:10:09 GMT stbjelcevic 2025-11-06T19:10:09Z https://community.databricks.com/t5/machine-learning/bug-mlflow-recipe/m-p/96138#M3744 <P>I'm not sure whether this is the right place, but we've encountered a bug in the datasets.py</P><P>(<A href="https://github.com/mlflow/mlflow/blob/master/mlflow/recipes/steps/ingest/datasets.py" target="_blank">https://github.com/mlflow/mlflow/blob/master/mlflow/recipes/steps/ingest/datasets.py</A>.). Anyone using recipes beware of forementioned.</P><P>def _convert_spark_df_to_pandas(self, spark_df):<BR />import pandas as pd</P><P>datetime_cols = [</P><P><FONT color="#339966">#this should befield.name for field in spark_df.schema.fields if str(field.dataType) == "DateType<STRONG>()</STRONG>"</FONT></P><P>field.name for field in spark_df.schema.fields if str(field.dataType) == "DateType"<BR />]<BR />pandas_df = spark_df.toPandas()<BR />pandas_df[datetime_cols] = pandas_df[datetime_cols].apply(pd.to_datetime, errors="coerce")</P><P>return pandas_df</P> Fri, 25 Oct 2024 13:28:47 GMT https://community.databricks.com/t5/machine-learning/bug-mlflow-recipe/m-p/96138#M3744 Mario_D 2024-10-25T13:28:47Z https://community.databricks.com/t5/machine-learning/bug-mlflow-recipe/m-p/138028#M4417 <P>Hi&nbsp;<a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/117384">@Mario_D</a>&nbsp;,</P> <P>Thanks for bringing this to our attention, I will pass this information along to the appropriate team!</P> Thu, 06 Nov 2025 19:10:09 GMT https://community.databricks.com/t5/machine-learning/bug-mlflow-recipe/m-p/138028#M4417 stbjelcevic 2025-11-06T19:10:09Z