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Thanks for the amazing package! I'm trying to allow different lambdas across nests by setting shared_lambda = False. However, it ran into the RuntimeError: Error(s) in loading state_dict for NestedLogitModel: Unexpected key(s) in state_dict: "lambdas". I wonder if there is a way to fix this. Thanks!
The text was updated successfully, but these errors were encountered:
Thanks for updating the package to allow different lambdas across nests. Sorry, I have encountered another problem. When I tried setting "shared_lambda=False", I keep having the error: lambdas and lambda_weight should be the same. I wonder if there is a way to fix this or if you have any idea what's the potential cause. Thanks!
Oops, that's a sanity check I implemented, and it seems to fail... Could you please attach a script that could replicate this issue? Ideally, with sample data, you can replace actual data with dummy values if the dataset is sensitive. Thank you!
Hi Tianyu,
Thanks for the amazing package! I'm trying to allow different lambdas across nests by setting shared_lambda = False. However, it ran into the RuntimeError: Error(s) in loading state_dict for NestedLogitModel: Unexpected key(s) in state_dict: "lambdas". I wonder if there is a way to fix this. Thanks!
The text was updated successfully, but these errors were encountered: