Quick Knn

Locality Sensitive hash functions

Uses MinHash to approximate Jaccard Similarity and Random Hyperplanes to approximate Cosine similarity.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for BLester125 from gravatar.com BLester125

Credits

Author: blester125

License

MIT License (MIT)

Requires

Python >=3.6

Tags

Data Mining

Classifiers

Report project as malware

Release files for quick-knn 0.1.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for quick-knn 0.1.4
File Size Uploaded
quick_knn-0.1.4.tar.gz 3.4 kB Details

Release files / quick_knn-0.1.4.tar.gz

Download URL quick_knn-0.1.4.tar.gz
Size 3.4 kB
Tags Source
SHA-256 checksum
How to use checksums 		0ef70d3d098c86af2a89739a5703daf81866b3bfa22143918e39d5d6ecd4725c
BLAKE2b-256 checksum
How to use checksums 		591c1b0389b1f0ffb67bc0b700781ae5f91be5cc40f0d440d91ba1c7aa211957
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What is trusted publishing? 		No

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This release

0.1.4 This release

1 release file

0.1.3

1 release file

0.1.2

1 release file

0.1.1

1 release file

0.1.0

1 release file

0.0.0

1 release file

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