LSH for Jaccard and Cosine Similarity
Project description
Quick Knn
Locality Sensitive hash functions
Uses MinHash to approximate Jaccard Similarity and Random Hyperplanes to approximate Cosine similarity.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
quick_knn-0.1.4.tar.gz
(3.4 kB
view details)
File details
Details for the file quick_knn-0.1.4.tar.gz.
File metadata
- Download URL: quick_knn-0.1.4.tar.gz
- Upload date:
- Size: 3.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0ef70d3d098c86af2a89739a5703daf81866b3bfa22143918e39d5d6ecd4725c |
|
| MD5 | 26f7d8bb2d3075660367882c35270e98 |
|
| BLAKE2b-256 | 591c1b0389b1f0ffb67bc0b700781ae5f91be5cc40f0d440d91ba1c7aa211957 |
