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In the original paper, the author said he used a randomly sampled one interaction for each user as the validation data, but in your code, you just used test data as the validation data, so I feel confused. Does that mean you used that test data to select the best parameters?
The text was updated successfully, but these errors were encountered:
The codes are just a demo to implement and run the model. You can split the
validation data from training by yourself, tuning hyperparams on the
validation data, and run the codes with optimal hyperparams to get final
testing performance.
On Tue, Aug 13, 2019 at 7:07 AM Yaowei Hu ***@***.***> wrote:
In the original paper, the author said he used a randomly sampled one
interaction for each user as the validation data, but in your code, you
just used test data as the validation data, so I feel confused.
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In the original paper, the author said he used a randomly sampled one interaction for each user as the validation data, but in your code, you just used test data as the validation data, so I feel confused. Does that mean you used that test data to select the best parameters?
The text was updated successfully, but these errors were encountered: