zeroSum | elastic net regularized regression with zero sum constraint

by rehbergT C++ Version: v2.0.4 License: No License

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

kandi X-RAY | zeroSum Summary

zeroSum is a C++ library. zeroSum has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

zeroSum is an R-package for fitting scale invariant and thereby reference point insensitive log-linear models by imposing the zero-sum constraint [1] combined with the elastic-net regularization [4].

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Quality

Security

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Reuse

Support

zeroSum has a low active ecosystem.

It has 17 star(s) with 4 fork(s). There are 5 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 zeroSum is v2.0.4

Quality

zeroSum has 0 bugs and 0 code smells.

Security

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

zeroSum code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

zeroSum 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

zeroSum releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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zeroSum Key Features

No Key Features are available at this moment for zeroSum.

zeroSum Examples and Code Snippets

No Code Snippets are available at this moment for zeroSum.

Community Discussions

Trending Discussions on zeroSum

Efficient way: find row where nearly no zero appears in column

React add/remove event listener

QUESTION

Efficient way: find row where nearly no zero appears in column

Asked 2019-Mar-16 at 19:52

I have a problem that as to be solved as efficient as possible. My current approach kind of works, but is extreme slow.

I have a dataframe with multiple columns, in this case I only care for one of them. It contains positive continuous numbers and some zeros. my goal: is to find the row where nearly no zeros appear in the following rows.

To make clear what I mean I wrote this example to replicate my problem:

...

ANSWER

Answered 2019-Mar-16 at 19:52

Second go

Source https://stackoverflow.com/questions/55199518

QUESTION

React add/remove event listener

Asked 2017-Nov-10 at 08:03

For some reason this.getVisible() is not firing on scroll/resize events. Can someone tell me what the problem is?

...

ANSWER

Answered 2017-Nov-10 at 03:09

You can't pass multiple event types in it. Try this:

Source https://stackoverflow.com/questions/47215011

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

Vulnerabilities

No vulnerabilities reported

Install zeroSum

Load the zeroSum package and the included example data.
Git clone or download this repository and a open a terminal within the zeroSum/hpc_version folder. Build the zeroSum hpc version with:. By default the Makefile is configured to compile zeroSum for the currently used architecture (native). This can be adjusted at the top of the Makefile.

Support

Linear regression (family = "gaussian", default):. Binomial logistic regression (family = "binomial"). Multinomial logistic regression (family = "multinomial"). Cox proportional hazard regression (family = "cox").

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