python main.py --dataset=$1 --model=$2 --drop_rate=$3 --num_gradual=$4 --gpu=$5
or use run.sh
sh run.sh dataset model drop_rate num_gradual gpu_id
The output will be in the ./log/xxx folder.
sh run.sh dataset model alpha gpu_id
We provide the code to inference based on the well-trained model parameters.
python inference.py --dataset=$1 --model=$2 --drop_rate=$3 --num_gradual=$4 --gpu=$5
- Train GMF by T_CE on Yelp:
python main.py --dataset=yelp --model=GMF --drop_rate=0.1 --num_gradual=30000 --gpu=0
- Train NeuMF by R_CE on Amazon_book
python main.py --dataset=amazon_book --model=NeuMF-end --alpha=_0.25 --gpu=0
We release all training logs in ./log folder. The hyperparameter settings can be found in the log file. The well-trained parameter files are too big to upload to Github. I will upload to drives later and share it here.
.
├── [252K] images
│ ├── [137K] img1.png
│ ├── [ 87K] img2.png
│ └── [ 24K] process_flow.svg
├── [ 57K] nbs
│ └── [ 53K] P254192_Training_GMF_with_Truncated_and_Reweighted_Denoising_Losses_on_Yelp_Dataset.ipynb
├── [ 78K] R_CE
│ ├── [4.1K] data_utils.py
│ ├── [3.2K] evaluate.py
│ ├── [2.2K] inference.py
│ ├── [ 50K] log
│ │ ├── [ 25K] adressa
│ │ │ ├── [ 11K] GMF_0.2.log
│ │ │ └── [ 11K] NeuMF-end_0.25.log
│ │ ├── [ 12K] amazon_book
│ │ │ ├── [3.9K] GMF_0.3.log
│ │ │ └── [4.0K] NeuMF-end_0.25.log
│ │ └── [9.4K] yelp
│ │ ├── [2.7K] GMF_0.2.log
│ │ └── [2.7K] NeuMF-end_0.2.log
│ ├── [ 420] loss.py
│ ├── [6.1K] main.py
│ ├── [3.7K] model.py
│ ├── [4.0K] models
│ └── [ 94] run.sh
├── [1019] README.md
├── [ 12K] reports
│ └── [7.7K] S063707_report.ipynb
└── [113K] T_CE
├── [4.1K] data_utils.py
├── [3.2K] evaluate.py
├── [2.1K] inference.py
├── [ 85K] log
│ ├── [ 46K] adressa
│ │ ├── [ 11K] GMF_0.05-30000.log
│ │ ├── [ 10K] GMF_0-0.log
│ │ ├── [ 11K] NeuMF-end_0-0.log
│ │ └── [ 11K] NeuMF-end_0.2-1000.log
│ ├── [ 20K] amazon_book
│ │ ├── [4.0K] GMF_0-0.log
│ │ ├── [4.0K] GMF_0.1-30000.log
│ │ ├── [4.0K] NeuMF-end_0-0.log
│ │ └── [4.0K] NeuMF-end_0.2-30000.log
│ └── [ 15K] yelp
│ ├── [2.7K] GMF_0-0.log
│ ├── [2.7K] GMF_0.1-30000.log
│ ├── [2.7K] NeuMF-end_0-0.log
│ └── [2.7K] NeuMF-end_0.2-30000.log
├── [ 611] loss.py
├── [6.7K] main.py
├── [3.7K] model.py
├── [4.0K] models
└── [ 118] run.sh
518K used in 15 directories, 38 files
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