lshash | locality sensitive hashing for Python3 | Natural Language Processing library

 by   loretoparisi Python Version: Current License: MIT

kandi X-RAY | lshash Summary

kandi X-RAY | lshash Summary

lshash is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. lshash has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install lshash' or download it from GitHub, PyPI.

locality sensitive hashing (LSHASH) for Python3
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            kandi-support Support

              lshash has a low active ecosystem.
              It has 27 star(s) with 3 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 3 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of lshash is current.

            kandi-Quality Quality

              lshash has 0 bugs and 0 code smells.

            kandi-Security Security

              lshash has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              lshash code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              lshash is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              lshash releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 327 lines of code, 34 functions and 5 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed lshash and discovered the below as its top functions. This is intended to give you an instant insight into lshash implemented functionality, and help decide if they suit your requirements.
            • Query the given query point
            • Return the point data as a numpy array
            • Compute the LSHash of a plane
            • Compute the hamming distance between two sets
            • Return a list of hashes for input_point
            • Saves the hash table
            Get all kandi verified functions for this library.

            lshash Key Features

            No Key Features are available at this moment for lshash.

            lshash Examples and Code Snippets

            No Code Snippets are available at this moment for lshash.

            Community Discussions

            QUESTION

            Python 3.7.7 ImportError: cannot import name 'LSHash' from 'lshash'
            Asked 2020-May-07 at 20:59

            I'm using Python 3.7.7. I have a class defined like

            ...

            ANSWER

            Answered 2020-May-07 at 20:59

            You can make relative imports in __init__.py file, like this:

            Source https://stackoverflow.com/questions/61666096

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install lshash

            You can install using 'pip install lshash' or download it from GitHub, PyPI.
            You can use lshash like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/loretoparisi/lshash.git

          • CLI

            gh repo clone loretoparisi/lshash

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            git@github.com:loretoparisi/lshash.git

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