second commit

main.py

@@ -4,10 +4,6 @@ import numpy as np
 import pandas as pd
 from torch.autograd import Variable
 
-train = 'train/train.tsv'
-in_file = 'test-A/in.tsv'
-out_file = 'test-A/out.tsv'
-learning_rate = 0.00001
 
 
 class linearRegression(nn.Module):
@@ -37,7 +33,7 @@ if torch.cuda.is_available():
    model.cuda()
 
 criterion = nn.MSELoss()
-optimizer = torch.optim.SGD(model.parameters(), lr=learning_rate)
+optimizer = torch.optim.SGD(model.parameters(), lr=0.00001)
 	
 
 

test-A/out.tsv

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