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a:0.1 :0.1 -4:0.2518703241895262 :0.7481296758104738 +4:0.5012468827930174 :0.49875311720698257 the:0.2 be:0.2 to:0.2 of:0.1 and:0.1 a:0.1 :0.1 diff --git a/run.py b/run.py index 086f1a0..0ff2a8c 100644 --- a/run.py +++ b/run.py @@ -41,15 +41,14 @@ class Model: for w1 in self.model: total_count = float(sum(self.model[w1].values())) + denominator = total_count + self.alpha * len(self.vocab) for w2 in self.model[w1]: - self.model[w1][w2] /= total_count - self.model[w1][w2] = (self.model[w1][w2] + self.alpha) / ( - total_count + self.alpha * len(self.vocab) - ) + nominator = self.model[w1][w2] + self.alpha + self.model[w1][w2] = nominator / denominator def _predict(self, word): predictions = dict(self.model[word]) - most_common = dict(Counter(predictions).most_common(5)) + most_common = dict(Counter(predictions).most_common(6)) total_prob = 0.0 str_prediction = "" diff --git a/test-A/out.tsv b/test-A/out.tsv index a96d586..b4f0d34 100644 --- a/test-A/out.tsv +++ b/test-A/out.tsv @@ -1,7 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