venn-abers-predictor | An Implementation of Venn-ABERS predictor

by fated C++ Version: v1.0 License: GPL-2.0

X-Ray Key Features Code Snippets(3)Community Discussions Vulnerabilities Install Support

kandi X-RAY | venn-abers-predictor Summary

venn-abers-predictor is a C++ library. venn-abers-predictor has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

An Implementation of Venn-ABERS predictor

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Quality

Security

License

Reuse

Support

venn-abers-predictor has a low active ecosystem.

It has 8 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of venn-abers-predictor is v1.0

Quality

venn-abers-predictor has no bugs reported.

Security

venn-abers-predictor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

venn-abers-predictor is licensed under the GPL-2.0 License. This license is Strong Copyleft.

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

Reuse

venn-abers-predictor releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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venn-abers-predictor Key Features

No Key Features are available at this moment for venn-abers-predictor.

venn-abers-predictor Examples and Code Snippets

An Implementation on Venn-ABERS Predictor,"va-offline" Usage

C++

Lines of Code : 26

License : Strong Copyleft (GPL-2.0)

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Usage: va-offline [options] train_file test_file [output_file]
options:
  -s model_file_name : save model
  -l model_file_name : load model
  -a ratio : set ratio of proper training set takes of all training set in Venn-ABERS (default 0.7)
  -b proba

An Implementation on Venn-ABERS Predictor,"va-cv" Usage

C++

Lines of Code : 25

License : Strong Copyleft (GPL-2.0)

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Usage: va-cv [options] data_file [output_file]
options:
  -a ratio : set ratio of proper training set takes of all training set in Venn-ABERS (default 0.7)
  -b probability estimates : whether to output probability estimates for all labels, 0 or 1 (d

An Implementation on Venn-ABERS Predictor,"va-online" Usage

C++

Lines of Code : 24

License : Strong Copyleft (GPL-2.0)

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Usage: va-online [options] data_file [output_file]
options:
  -a ratio : set ratio of proper training set takes of all training set in Venn-ABERS (default 0.7)
  -b probability estimates : whether to output probability estimates for all labels, 0 or

Community Discussions

No Community Discussions are available at this moment for venn-abers-predictor.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install venn-abers-predictor

On Unix systems, type make to build the va-offline, va-online and va-cv programs. Run them without arguments to show the usages of them.

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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