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* Use cosine distance metric for vec tables * Only apply normalization to multi modal searches * Catch possible edge case in stddev calc * Use sigmoid function for normalization for multi modal searches only * Ensure we get model state on initial page load * Only save stats for multi modal searches and only use cosine similarity for image -> image search |
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.. | ||
functions | ||
__init__.py | ||
embeddings.py | ||
maintainer.py | ||
util.py |