15 lines
386 B
Python
15 lines
386 B
Python
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from sklearn.feature_extraction.text import TfidfVectorizer
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from sklearn.linear_model import LinearRegression
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import string
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import csv
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dev = []
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with open("out.tsv", 'r', encoding="utf-8") as out:
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dev = [line.strip() for line in out]
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i = -1
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with open("fix.tsv", 'w', encoding="utf-8") as fix:
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for score in dev:
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score = int(float(score))
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fix.write(str(score) + ".5\n")
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