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