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When running on a CUDA device, the following code:
```
from pytorch_widedeep import Trainer
from torchmetrics.classification import BinaryAUROC, BinaryPrecision, BinaryRecall
trainer = Trainer…
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I am attempting to adapt the example from https://github.com/jrzaurin/pytorch-widedeep/blob/master/examples%252Fscripts%252Fairbnb_load_from_folder_regr.py to my dataset which includes tabular and tex…
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Hello, the Movielens dataset in this library only has a 100k version. Can you add a 1M version. This allows for the use of larger datasets.
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In the "recommend_user" method of the "WideDeep" class, it uses "np.argpartition" and there are some other methods. I do not see any nearest neighbors library. (such as; Faiss, ScaNN)
Why wasn't an…
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The pytorch_frame library natively handles categorical variables where the variable may take on multiple categories simultaneously, e.g. row1 = [1, .5, ['a', 'b', 'c']], row2 = [2, .3, ['a']] ...
I…
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Hello,
I'm trying to classify events for a dark matter direct detection experiment which are tabulated in some optimal features (data are continuous).
When I run both xgboost and lgbm algorithms …
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请问默认模型训练前是否已经做了数值特征的预处理归一化
xxllp updated
1 month ago
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**System information**
- OS Platform and Distribution: MacOS 14.2.1
- Python version: 3.11.7
- DeepTables version: 0.2.6
- Other Python packages(run `pip list`):
```
Package …
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这什么玩意?
» python run_recbole.py --model=WideDeep --dataset=ml-1m
Trainable parameters: 108574
Train 0: 0%| | 0/391 [00:00
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**描述这个 bug**
I used WideDeep recommender and successfully loaded customized user embedding following [this](https://recbole.io/docs/user_guide/usage/load_pretrained_embedding.html) tutorial but Recbo…