rank_bm25 | A Collection of BM25 Algorithms in Python | Search Engine library

by dorianbrown Python Version: 0.2.2 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | rank_bm25 Summary

rank_bm25 is a Python library typically used in Database, Search Engine, Example Codes applications. rank_bm25 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 rank_bm25' or download it from GitHub, PyPI.

A Collection of BM25 Algorithms in Python

Support

Quality

Security

License

Reuse

Support

rank_bm25 has a low active ecosystem.

It has 597 star(s) with 54 fork(s). There are 11 watchers for this library.

It had no major release in the last 12 months.

There are 10 open issues and 12 have been closed. On average issues are closed in 152 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rank_bm25 is 0.2.2

Quality

rank_bm25 has 0 bugs and 0 code smells.

Security

rank_bm25 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

rank_bm25 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rank_bm25 is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

rank_bm25 releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

rank_bm25 saves you 79 person hours of effort in developing the same functionality from scratch.

It has 240 lines of code, 23 functions and 4 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed rank_bm25 and discovered the below as its top functions. This is intended to give you an instant insight into rank_bm25 implemented functionality, and help decide if they suit your requirements.

Get the current version number .
Initialize the statistics for a corpus .
Calculate the weighted average idf .
Compute the score for the given query .
Initialization function .
Calculate the score for a given query .
get the top n documents

Get all kandi verified functions for this library.

rank_bm25 Key Features

No Key Features are available at this moment for rank_bm25.

rank_bm25 Examples and Code Snippets

No Code Snippets are available at this moment for rank_bm25.

Community Discussions

Trending Discussions on rank_bm25

Why ! is used before pip command?

QUESTION

Why ! is used before pip command?

Asked 2020-Nov-13 at 01:12

I worked on a dataset in Kaggle and I see that in some python notebooks, they have used ! before pip command for installing packages.

For example: !pip install rank_bm25 nltk

Is there any reason behind it?

...

ANSWER

Answered 2020-Nov-13 at 01:12

In some python interactive shells like ipython or kaggle ! is prefixed to run external shell command.

Source https://stackoverflow.com/questions/64814047

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

Vulnerabilities

No vulnerabilities reported

Install rank_bm25

The easiest way to install this package is through pip, using. If you want to be sure you're getting the newest version, you can install it directly from github with.

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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