locality-sensitive-hashing
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- Check if SW-graph still has init*Attempts parameters.
- Update manual readme to highlight examples of using library as explained in e.g., https://gitter.im/nmslib/Lobby?at=591a5f8c8a05641b11876827
Thanks!
Thanks for the library and excellent documentation.
I have ~30 million documents that I've computed LeanMinHashes for. I want to essentially create a graph of documents where each edge corresponds to two documents sharing a Jaccard similarity above the threshold specified in the MinHashLSH object. This means calling lsh.query(doc_i_minhash) for each document i.
The problem I'm having
Hi,
I suggest you update Documentation page with a better explanation regarding windows.
I do not know how things are going with installation through Python environment, but direct compilation of library is not possible not because you do not provide Visual Studio project or something but because FHHT is mostly written in inline assembler code that is supported by GCC/Clang compilers only.
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Add documentation
- Comparison with C implementation
- How to use the package
- Some Performance numbers
- Comparison with SSDEEP
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Is there a default seed? I copied the Python code from seed_test.py and removed the set_seed calls. The test passed thousands of times despite no set_seed calls being made. Is this expected? If so, can we document this? Is there an explicit default seed?
Just as a sanity check, I modified the calls to set the seed to two distinct values and it failed every time, as expected.
The reason I'm a