Documents not sortable in py3
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 45/100
- Issue type
- Bug
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
Reproduce the failure with the provided Python example, then trace Model.search into vector_space_search and the nsmallest call for duplicate Documents. Done means the search completes under Python 3.6 and returns the expected sorted results when duplicate documents are present.
Written by the indexing model from the issue text.
Description
We're having an issue with pattern==3.6 where if there are duplicates, etc in the model documents, getting the nsmallest fails for vector_space_search:
from pattern.en import lexeme
from pattern.vector import Document, LEMMA, TFIDF, Model
responses = ['it is works great. ', 'bristles are soft and compact enough', 'the aftertaste isnt as bad as others. ', 'i dont know. it isnt something i think about.', 'bristles are soft and compact enough']
exclude = ['t', 'im']
docs = [Document(response, stemmer=LEMMA, name=str(i), exclude=exclude, stopwords=False) for i, response in enumerate(responses)]
m = Model(documents=docs, weight=TFIDF)
results = m.search(words=lexeme('bristle'), top=100)
Results in:
(if you're wondering, here's why it works in py2 - from https://docs.python.org/2/library/stdtypes.html#comparisons)
- Dominant language
- Python
- Stars
- 8.9k
- Forks
- 1.6k
- PR merge metrics
- No merged PRs in 30d
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