streaming_lsh | clustering text streams using locality-sensitive hashing

by kykamath Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | streaming_lsh Summary

streaming_lsh is a Python library. streaming_lsh has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A project for clustering text streams using locality-sensitive hashing (LSH) in Python

Support

Quality

Security

License

Reuse

Support

streaming_lsh has a low active ecosystem.

It has 22 star(s) with 9 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 3367 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of streaming_lsh is current.

Quality

streaming_lsh has 0 bugs and 0 code smells.

Security

streaming_lsh has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

streaming_lsh code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

streaming_lsh does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

streaming_lsh releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

streaming_lsh saves you 227 person hours of effort in developing the same functionality from scratch.

It has 554 lines of code, 87 functions and 9 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed streaming_lsh and discovered the below as its top functions. This is intended to give you an instant insight into streaming_lsh implemented functionality, and help decide if they suit your requirements.

Returns the cluster with the given document
Updates the phrase vector and dimensions map
Returns the cluster that the document is closer than the given document
Calculate signature based on vectorPermutations
Returns a vector that maps to the given phrase
Apply the function to x
Returns the closest document to the given document
Computes the hamming distance between two keys
Return a new Signature with the given permutation
Find the key corresponding to a given signature
Add a document to the aggregate
Updates the document id for a document
Returns the number of documents in the cluster
Iterate over documents in a cluster
Add a document to the list
Removes a document from the list
Removes a document from the collection

Get all kandi verified functions for this library.

streaming_lsh Key Features

No Key Features are available at this moment for streaming_lsh.

streaming_lsh Examples and Code Snippets

No Code Snippets are available at this moment for streaming_lsh.

Community Discussions

No Community Discussions are available at this moment for streaming_lsh.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install streaming_lsh

You can download it from GitHub.
You can use streaming_lsh 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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