sunburnt | Python interface to Solr | Search Engine library

by tow Python Version: 0.6 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | sunburnt Summary

sunburnt is a Python library typically used in Database, Search Engine applications. sunburnt has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Python interface to Solr

Support

Quality

Security

License

Reuse

Support

sunburnt has a low active ecosystem.

It has 279 star(s) with 89 fork(s). There are 19 watchers for this library.

It had no major release in the last 6 months.

There are 21 open issues and 24 have been closed. On average issues are closed in 145 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of sunburnt is 0.6

Quality

sunburnt has no bugs reported.

Security

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

License

sunburnt is licensed under the MIT License. This license is Permissive.

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

Reuse

sunburnt 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.

Top functions reviewed by kandi - BETA

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

Wrap http connection
Checks if the given object is a requests instance
Return a string representation of the event names
Yield event items

Get all kandi verified functions for this library.

sunburnt Key Features

No Key Features are available at this moment for sunburnt.

sunburnt Examples and Code Snippets

No Code Snippets are available at this moment for sunburnt.

Community Discussions

Trending Discussions on sunburnt

What is efficient way to check if current word is close to a word in string?

Extract n Words Around Defined Term (Multicase)

QUESTION

What is efficient way to check if current word is close to a word in string?

Asked 2020-May-30 at 20:17

consider examples below :

Example 1 :
...

ANSWER

Answered 2020-May-30 at 18:05

You can use Jacard coefficient in this case. First, you need to split your first and second string by space. After that, for every string in str2, take Jacard coefficient with every string in str1, then replace with which that gives you the highest Jacard coefficient.

You can use sklearn.metrics.jaccard_score.

Source https://stackoverflow.com/questions/62106645

QUESTION

Extract n Words Around Defined Term (Multicase)

Asked 2018-Feb-11 at 09:50

I have a vector of text strings, such as:

...

ANSWER

Answered 2018-Feb-11 at 09:50

The quanteda package has a great function for this: kwic() (keywords in context).

Out of the box, this works pretty well on your example:

Source https://stackoverflow.com/questions/48727546

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

Vulnerabilities

No vulnerabilities reported

Install sunburnt

You can download it from GitHub.
You can use sunburnt 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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