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

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Co-authored-by: Davit Buniatyan <d@activeloop.ai>

2023-04-06 12:47:33 -07:00

..

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