A library for performing shingling and LSH for python.
Project description
lsh
LSH is a Python implementation of locality sensitive hashing with minhash. It is very useful for detecting near duplicate documents.
The implementation uses the MurmurHash v3 library to create document finger prints.
Cython is needed if you want to regenerate the .cpp files for the hashing and shingling code. By default the setup script uses the pregenerated .cpp sources, you can change this with the USE_CYTHON flag in setup.py
NumPy is needed to run the code.
The MurmurHash3 library is distributed under the MIT license. More information https://github.com/aappleby/smhasher
installation
> git clone https://github.com/mattilyra/LSH
> cd LSH
> python setup.py install
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hlwy-lsh-0.3.0.tar.gz
(126.3 kB
view hashes)
Built Distribution
Close
Hashes for hlwy_lsh-0.3.0-cp37-cp37m-macosx_10_14_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 845cdd8573b28edd077bb027fe19a4abd10b8fee9c6e29e1f07e254a3b90c1e9 |
|
| MD5 | 77613cf34a81e368c4a5785bb019df2a |
|
| BLAKE2b-256 | 5e26e2a4776f8d57b523105ddc09a6146bb0cba309cbf1061d66f7dda155162c |
