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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examples	Deep Lake upgrade to include attribute search, distance metrics, returning scores and MMR (#2455)	2023-04-06 12:47:33 -07:00
getting_started.ipynb	big docs refactor (#1978)	2023-03-26 19:49:46 -07:00