dominant_set | See 'Dominant Sets | Machine Learning library

by emanuele Python Version: Current License: No License

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

kandi X-RAY | dominant_set Summary

dominant_set is a Python library typically used in Artificial Intelligence, Machine Learning applications. dominant_set has no bugs, it has no vulnerabilities and it has low support. However dominant_set build file is not available. You can download it from GitHub.

Dominant set clustering. See Dominant Sets and Pairwise Clustering, by Massimiliano Pavan and Marcello Pelillo, PAMI 2007.

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Quality

Security

License

Reuse

Support

dominant_set has a low active ecosystem.

It has 11 star(s) with 8 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

dominant_set has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dominant_set is current.

Quality

dominant_set has 0 bugs and 0 code smells.

Security

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

dominant_set code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dominant_set 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

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

dominant_set has no build file. You will be need to create the build yourself to build the component from source.

It has 77 lines of code, 1 functions and 2 files.

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

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dominant_set Key Features

No Key Features are available at this moment for dominant_set.

dominant_set Examples and Code Snippets

No Code Snippets are available at this moment for dominant_set.

Community Discussions

Trending Discussions on dominant_set

I have to compare data from each row of a Pandas DataFrame with data from the rest of the rows, is there a way to speed up the computation?

QUESTION

I have to compare data from each row of a Pandas DataFrame with data from the rest of the rows, is there a way to speed up the computation?

Asked 2019-Aug-22 at 13:15

Let's say I have a pandas DataFrame (loaded from a csv file) with this structure (the number of var and err columns is not fixed, and it varies from file to file):

...

ANSWER

Answered 2019-Aug-22 at 05:42

It's not a major change of the algorithm, but you can save more than half of the loop cycles as well as the tests for j == i and couple_already_tested if you choose the range for j adequately, so the main loops become:

Source https://stackoverflow.com/questions/57572695

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

Vulnerabilities

No vulnerabilities reported

Install dominant_set

You can download it from GitHub.
You can use dominant_set 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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