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from sklearn.feature_extraction.text import TfidfVectorizer | |
from sklearn.metrics.pairwise import linear_kernel | |
import numpy as np | |
from itertools import combinations | |
from random import shuffle | |
def majorclust_sklearn(): | |
texts = [ | |
"foo blub baz", | |
"foo bar baz", |
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import os | |
import sys | |
import traceback | |
from functools import wraps | |
from multiprocessing import Process, Queue | |
def processify(func): | |
'''Decorator to run a function as a process. | |
Be sure that every argument and the return value |