Add kreciprocal evaluation. #191
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SimFG
reviewed
Apr 13, 2023
| if src_question == cache_question: | ||
| return 1 | ||
| candidates = list(self.vectordb.search(cache_dict['embedding_data'], self.top_k)) | ||
| top_k_candidates = candidates[: self.top_k] |
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improve it, like
top_k_candidates=self.vectordb.search(cache_dict['embedding_data'], self.top_k)
| """ | ||
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| def __init__(self, vectordb: 'gptcache.manager.vector_data.base.VectorBase', top_k: int = 3): |
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| :return: minimum and maximum of similarity score. | ||
| """ | ||
| return 0.0, 1.0 |
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it may be the same as SearchDistanceEvaluation
Codecov Report
Additional details and impacted files@@ Coverage Diff @@
## dev #191 +/- ##
==========================================
+ Coverage 80.33% 80.79% +0.46%
==========================================
Files 41 42 +1
Lines 1200 1234 +34
==========================================
+ Hits 964 997 +33
- Misses 236 237 +1
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Signed-off-by: wxywb <xy.wang@zilliz.com>
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/lgtm |
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: SimFG, wxywb The full list of commands accepted by this bot can be found here. The pull request process is described here
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