mp-boost | specific variant of AdaBoost | Machine Learning library

by aesuli C++ Version: Current License: GPL-3.0

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

kandi X-RAY | mp-boost Summary

mp-boost is a C++ library typically used in Artificial Intelligence, Machine Learning, Numpy applications. mp-boost has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

MP-Boost++ is a C++ implementation of AdaBoost.MH and MPBoost, a multi-label-specific variant of AdaBoost that is more accurate and requires less iterations.

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Quality

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Support

mp-boost has a low active ecosystem.

It has 7 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 63 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mp-boost is current.

Quality

mp-boost has no bugs reported.

Security

mp-boost has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

mp-boost is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

mp-boost releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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mp-boost Key Features

No Key Features are available at this moment for mp-boost.

mp-boost Examples and Code Snippets

No Code Snippets are available at this moment for mp-boost.

Community Discussions

Trending Discussions on mp-boost

Why Rcpp openmp parallized codes sometimes gave: Segmentation fault (core dumped)

QUESTION

Why Rcpp openmp parallized codes sometimes gave: Segmentation fault (core dumped)

Asked 2017-Sep-03 at 21:17

I wrote an Rcpp code which worked before I make that parallel. I parallelized my code with openmp. this is my cppcode:

...

ANSWER

Answered 2017-Sep-03 at 21:17

Here a possible use of RMatrix that should help with the segmentation faults:

Source https://stackoverflow.com/questions/46014003

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

Vulnerabilities

No vulnerabilities reported

Install mp-boost

You can download it from GitHub.

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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