HJ Seo
HJ Seo
 어떻게 해결 할 수 있을까요?
**I think providing full legit tutorials for general/sequential/KG/context-aware models could be crucial to users and recbole's popularity.** It is nice to start with quick_start you provide. But as it is...
**Describe the bug(问题描述)** ```history = model.fit(x, y, batch_size=256, epochs=20, verbose=1, validation_split=0.4, shuffle=True)``` When I try model.fit for DIEN model with run_dien.py of your default example, it works when I set...
Please refer to the [FAQ](https://deepctr-doc.readthedocs.io/en/latest/FAQ.html) in doc and search for the [related issues](https://github.com/shenweichen/DeepCTR-PyTorch/issues) before you ask the question. **Describe the question(问题描述)** I get an error I think because of this....
**Describe the question(问题描述)** Let's say I implemented DeepFM here. I see how we train and test. But after we test, now we want to actually make recommendations with unseen new...
**Describe the question(问题描述)** ### As run_dien.py has randomly generated data just to run, it is hard to grasp exact input data format. Can you provide small fraction of some real...
**Describe the question(问题描述)** As I am processing data to use DIEN model, I reckon that data should have some different format compared to DeepFM due to the user behavior sequence...
I made a PyG heterograph as below. ``` cipdata Out[145]: HeteroData( card={ x=[13752, 302] }, user={ x=[10996, 304] }, (user, solved, card)={ edge_index=[2, 28992], edge_attr=[28992] }, (card, rev_solved, user)={ edge_index=[2,...
If I understood correctly, I see that pp in the result is the predicted probability of forgetting a word. So if pp is low, I should recommend a word associated...
I tried a command line down below: `python test.py --pose data/obama/obama.json --ckpt pretrained/obama_eo.pth --aud data/obama/trump_eo.npy --workspace trial_obama/ -O --torso` ``` Namespace(H=450, O=True, W=450, amb_dim=2, asr=False, asr_model='cpierse/wav2vec2-large-xlsr-53-esperanto', asr_play=False, asr_save_feats=False, asr_wav='', att=2,...