Davit Buniatyan b4914888a7 Deep Lake upgrade to include attribute search, distance metrics, returning scores and MMR (#2455) ... ### Features include - Metadata based embedding search - Choice of distance metric function (`L2` for Euclidean, `L1` for Nuclear, `max` L-infinity distance, `cos` for cosine similarity, 'dot' for dot product. Defaults to `L2` - Returning scores - Max Marginal Relevance Search - Deleting samples from the dataset ### Notes - Added numerous tests, let me know if you would like to shorten them or make smarter --------- Co-authored-by: Davit Buniatyan <d@activeloop.ai>		2023-04-06 12:47:33 -07:00
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integration_tests	Deep Lake upgrade to include attribute search, distance metrics, returning scores and MMR (#2455)	2023-04-06 12:47:33 -07:00
mock_servers	Add a mock server (#2443)	2023-04-05 10:35:46 -07:00
unit_tests	Removed duplicate BaseModel dependencies (#2471)	2023-04-06 12:45:16 -07:00
__init__.py	initial commit	2022-10-24 14:51:15 -07:00