Comments (1)
Sorry for the late reply. Unfortunately, I don't have any stored models currently. I would suggest you to increase the latent dimension and num_negative
. Also, NeuMF requires pretraining of GMF and MLP. Without pretraining, it is very hard to train it from scratch. So do check the performance of the pretrained model. I hope this helps.
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Related Issues (19)
- AssertionError: CUDA is not available HOT 4
- Add LICENSE.txt
- the performance of ncf in hr@10 didn't achieve 0.7 HOT 4
- L2 regularization HOT 1
- Missing layer and training workflow HOT 2
- Does hyper parameter "l2_regularization" works? I didn't find anywhere in "mlp.py" related to this parameter
- size mismatch for fc_layers
- ModuleNotFoundError: No module named 'tensorboardX'
- The NDCG metric HOT 3
- AssertionError
- The GPU utilization is low HOT 2
- The code implementation does not match the original paper HOT 4
- 'checkpoints/gmf_factor8neg4_Epoch100_HR0.6391_NDCG0.2852.model' HOT 12
- How to apply NCF to datasets that only have the number of interactions? HOT 9
- question about the version of pytorch HOT 8
- 0 NDCG and HR for training NeuMF and GMF HOT 2
- Test Dataloader for large dataset. HOT 4
- Wrong Neumf config ? HOT 1
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