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test the publiching
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textpipe/core/recommender.py renamed to codextextpipe/core/recommender.py

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import numpy as np
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from textpipe.data.vectorizer import Vectorizer
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from textpipe.data.cleaner import clean_text
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from codextextpipe.data.vectorizer import Vectorizer
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from codextextpipe.data.cleaner import clean_text
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class ContentRecommender:
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def __init__(self, max_features=5000, n_components = 25,ngram_range=(1, 2)):
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