diff --git a/.idea/workspace.xml b/.idea/workspace.xml index 38619d2..b57c537 100644 --- a/.idea/workspace.xml +++ b/.idea/workspace.xml @@ -2,7 +2,6 @@ - diff --git a/dev-0/out.tsv b/dev-0/out.tsv index f1d4787..df0c0fb 100644 --- a/dev-0/out.tsv +++ b/dev-0/out.tsv @@ -1,5 +1,5 @@ 0 -1 +0 1 1 0 @@ -13,7 +13,7 @@ 0 0 0 -1 +0 1 0 1 @@ -40,14 +40,14 @@ 1 1 1 -1 +0 1 0 0 0 0 1 -1 +0 1 0 0 @@ -63,17 +63,17 @@ 1 1 1 -1 0 0 -1 0 1 0 1 +0 1 +0 1 -1 +0 0 1 1 @@ -82,7 +82,7 @@ 1 1 0 -1 +0 1 1 1 @@ -94,7 +94,7 @@ 0 1 0 -1 +0 1 1 1 @@ -108,7 +108,7 @@ 0 1 0 -1 +0 0 1 1 @@ -127,28 +127,24 @@ 1 0 0 -1 0 -1 +0 +0 0 1 +0 1 1 1 -1 -1 -1 -1 -1 -1 +0 1 1 0 0 1 0 -1 -1 +0 +0 1 0 1 @@ -157,7 +153,7 @@ 0 1 1 -1 +0 0 1 1 @@ -165,9 +161,13 @@ 0 0 1 +0 +0 +0 1 1 0 +0 1 0 1 @@ -191,25 +191,18 @@ 1 0 1 -1 +0 1 1 0 1 0 -1 -1 -1 -1 -1 0 0 1 -1 -1 -1 0 -1 +0 +0 0 1 1 @@ -217,49 +210,56 @@ 1 0 1 -1 0 1 0 1 0 +0 1 +0 +0 1 0 0 0 -1 0 0 -1 +0 +0 0 1 +0 +0 1 +0 1 1 1 +0 1 1 1 +0 1 -1 +0 1 1 0 0 -1 0 0 0 -1 0 1 +0 1 1 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torch.cat([testA_x_temp2, testA_x_words_onehot], 1) dataset_train = TrainDataset(x, y) trainloader=DataLoader(dataset=dataset_train, batch_size=minibatch_size, shuffle=True) -def train_loop(i = 100): +def train_loop(i = 50): for i in range(i): for xb, yb_expected in trainloader: optimizer.zero_grad() @@ -197,13 +197,13 @@ def train_loop(i = 100): dev_y_pred_float_df = pandas.DataFrame(dev_y_pred_float_tensor.detach().numpy()) auc_score = roc_auc_score(dev_y_test, dev_y_pred_float_df) print("auc:\t", auc_score, "\tloss:\t", loss.item()) - if ((auc_score > 0.80)): + if ((auc_score > 0.70)): break loss.backward() optimizer.step() - if ((auc_score > 0.80)): + if ((auc_score > 0.70)): break #print(loss) diff --git a/test-A/out.tsv b/test-A/out.tsv index db71dd4..40e2097 100644 --- a/test-A/out.tsv +++ b/test-A/out.tsv @@ -5,21 +5,21 @@ 1 0 1 -1 +0 0 1 1 -1 +0 1 0 0 0 -1 0 0 0 0 -1 +0 +0 0 1 1 @@ -33,7 +33,7 @@ 1 0 0 -1 +0 1 1 1 @@ -50,11 +50,11 @@ 1 0 1 -1 +0 0 1 1 -1 +0 1 1 1 @@ -68,19 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