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TFM_AdrianAyusoMuñoz
Commit c7af1974 authored by ADRIAN AYUSO MUNOZ's avatar ADRIAN AYUSO MUNOZ
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Updating information and adding final model.

parent d9b13c60
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dmsr.py
View file @ c7af1974
......@@ -419,5 +419,6 @@ def main(epochs, hidden_dim, lr, weight_decay, dropout):
if __name__ == '__main__':
# Set of random hyperparameters to train the model.
main(400, 32, 0.01, 1e-4, 0)
# Set of hyperparameters to train the model.
main(2343, 31, 0.0010235455088934942, 0.005144745056173074, 0.5)
metrics/aucroc&prcRepoDBHorizontal.svg
View file @ c7af1974
......@@ -6,7 +6,7 @@
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testRepoDB.py
View file @ c7af1974
......@@ -163,11 +163,11 @@ if __name__ == '__main__':
k = 50
# Set of hyperparameters.
epochs = 2752
hidden_dim = 107
lr = 0.0008317
weight_decay = 0.006314
dropout = 0.8
epochs = 2343
hidden_dim = 31
lr = 0.0010235455088934942
weight_decay = 0.005144745056173074
dropout = 0.5
# Train and test k models and obtain their metrics.
for i in range(k):
......
topN.py
View file @ c7af1974
......@@ -28,10 +28,11 @@ def filterPreds(original, pred):
head = i
tail = torch.arange(0, len(pred_labels)) # All tails.
indexH = ((headsO == head).nonzero(as_tuple=True)[0]) # Index of those heads originally present in the graph.
#Check
print(len(tail))
for index in indexH:
tail = tail[tail != index] # Just get those tails not present in the original graph.
print(len(tail))
new.append([head, tail, pred_labels[tail].cpu().detach().numpy()]) # New predictions are appended.
return new
......
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