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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@ It is a pytorch implemention of paper "BRITS: Bidirectional Recurrent Imputation
To train the BRIST model, first please unzip the PhysioNet data into ***raw*** folder, including the label file ***Outcomes-a.txt***.

To run the model:
* make a empty folder named ***json***, and run inpute_process.py.
* make a empty folder named ***json***, and run input_process.py.
* run different models:
* e.g., RITS_I: python main.py --model rits_i --epochs 1000 --batch_size 64 --impute_weight 0.3 --label_weight 1.0 --hid_size 108
* for most cases, using impute_weight=0.3 and label_weight=1.0 lead to a good performance. Also adjust hid_size to control the number of parameters
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