You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Jul 13, 2022. It is now read-only.
I am trying to run the python example on databricks.
When I get to this line I get the error in the subject. fi_importances = FI.run_feature_importances("XGBoost", "classifier", dataframe,20.0,"count",generic_overrides)
I have attached the wheel file pyAutoML-0.2.0-py3-none-any.whl to my cluster.
The text was updated successfully, but these errors were encountered:
The AutomatedRunner Class fails with the error
('Your model family but be within any of the following supported model types:', ['RandomForest', 'XGBoost', 'LogisticRegresesion', 'Trees', 'GBT', 'LinearRegression', 'MLPC', 'SVM'])
I've tried both XGBoost and RandomForest, both fail with the same message.
The Family Runner fails with the message
'JavaPackage' object is not callable
I am trying to run the python example on databricks.
When I get to this line I get the error in the subject.
fi_importances = FI.run_feature_importances("XGBoost", "classifier", dataframe,20.0,"count",generic_overrides)
I have attached the wheel file pyAutoML-0.2.0-py3-none-any.whl to my cluster.
The text was updated successfully, but these errors were encountered: