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Published June 4, 2021 | Version 2.04
Software Open

beringresearch/ivis: ivis: dimensionality reduction in very large datasets using Siamese Networks

  • 1. Bering Limited
  • 2. University of Oxford
  • 3. Federal University of ParĂ¡, Brazil
  • 4. @risQinc and @level11analytics

Description

  • Knn retrieval made more efficient by switching from multi-processing to multi-threading. Memory savings depend on OS and core count. * Fixed issue where saved ivis models would attempt to load the index at the path they were saved with - this can't be relied on when the index is temporary and deleted after use.
  • Fixed issue where Annoy Index metric parameter was not passed to an index that was loaded from disk.
  • A few other things changed, including better error handling, cleaner code, and allowing for saving AnnoyKnnMatrix via pickle

Files

beringresearch/ivis-2.04.zip

Files (13.4 MB)

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