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Unable to export graph as ensemble when using multi-hot categorical column #361
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What Feast version are you using? |
Hi Karl, I am using Feast==0.19.4. I tried removing the multi-hot categorical feature column(for example: search_term, one of the examples being ['tokkio','merlin','riva documentation','nvbot implementation']) and I was able to materialize it without that. @rnyak has informed that your team hasn't been able to test the multi-hot categorical feature columns in the dataset with Feast and that is the reason why it's happening. I would like to not remove this feature column from my dataset as it improves the model performance to some extent. Could you or someone from the team please work on testing it out? |
Closing this since materialization issue was solved. And another bug was reported here NVIDIA-Merlin/systems#115 |
@karlhigley and @rnyak |
What does |
@karlhigley here is the output for the retrieval model |
I think the issue is happening while trying to get the |
@mkumari-ed Any chance you could share the model definition code and/or TF saved model file you're using to help me replicate the issue? (Slack would be fine if that works better.) |
@karlhigley Hi Karl, I just reached out to you on slack with file links and follow up questions. Please let me know. |
@karlhigley Hi Karl, renaming the column from Here is the screenshot |
@karlhigley , the last comment shows that the issue is not resolved. But status is done. I have moved it to WIP. Please review |
This is no longer the same (original) issue, which is why it was marked as done. |
@mkumari-ed , the original issue is done. But we cannot close this because other issues have been added to the thread. Please create separate tickets and let us know and we. will close this ticket. Thank you. |
Closing. @mkumari-ed please create additional issues if you're still experiencing this. |
I am using inference container 22.05. When materializing feast in cell 6 deploying multi-stage recsys notebook, I am getting exception while materializing user_features. Item features worked just fine. Please download the sample data and notebooks used for this from the link here
Using tensorflow-inference 22.05 container. Attaching the error here
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