From b1242f7392c24962c044652fb707718ae3b21ef0 Mon Sep 17 00:00:00 2001 From: thehanslevi Date: Thu, 18 Jun 2026 11:10:22 -0400 Subject: [PATCH] Fix README input_process filename --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 23b4a5bf..7344916a 100644 --- a/README.md +++ b/README.md @@ -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