update
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@ -16,7 +16,7 @@ with open("train/in.tsv") as f:
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model = Word2Vec(X_train, min_count=1,size= 50,workers=3, window =3, sg = 1)
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model = Word2Vec(X_train, min_count=1,size= 50,workers=3, window =3, sg = 1)
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X_train=model[X_train]
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X_train=model[X_train]
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X=model[X]
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X=model[X]
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FEAUTERES=10000
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FEAUTERES=1000
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class NeuralNetworkModel(torch.nn.Module):
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class NeuralNetworkModel(torch.nn.Module):
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def __init__(self):
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def __init__(self):
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@ -60,7 +60,7 @@ for epoch in range(10):
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loss_score += loss.item() * Y.shape[0]
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loss_score += loss.item() * Y.shape[0]
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with open('test-A/out1.tsv', 'w') as file:
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with open('test-A/out.tsv', 'w') as file:
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for e in Y_predictions:
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for e in Y_predictions:
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file.write("%f\n" % e)
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file.write("%f\n" % e)
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