@Colin Sorensen :
The error message "All trials either failed or did not return results to hyperopt" in AutoML indicates that the algorithm tried to find the best hyperparameters for the model, but it could not find any. This could be due to a variety of reasons such as lack of data, poor feature selection, or inadequate tuning of the hyperparameters.
Regarding the error "Tried to attach usage logger pyspark.databricks.pandas.usage_logger , but an exception was raised: <property object at 0x7f2a7f543540> is not a callable object", it appears to be related to the usage logger feature of PySpark. You can try disabling the usage logger by setting the configuration property "spark.databricks.pandas.usageLoggerAutoStart" to "false" before running your code.
Here is an example of how to set the configuration property in a Databricks notebook:
spark.conf.set("spark.databricks.pandas.usageLoggerAutoStart", "false")
If the issue persists, it might be helpful to check the AutoML logs for more details on why the trials failed or didn't return any results. You can find the logs in the "Logs" tab of the AutoML run.