Fix Wygładzania
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dev-0/out.tsv
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dev-0/out.tsv
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test-A/out.tsv
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test-A/out.tsv
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train.py
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train.py
@ -18,7 +18,7 @@ def train_model(data, model,vocab,alpha):
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denominator = total_count + alpha * len(vocab)
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denominator = total_count + alpha * len(vocab)
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for w1 in model[w2]:
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for w1 in model[w2]:
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nominator = model[w2][w1] + alpha
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nominator = model[w2][w1] + alpha
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model[w2][w1] /= nominator / denominator
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model[w2][w1] = nominator / denominator
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def predict_data(read_path, save_path, model):
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def predict_data(read_path, save_path, model):
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