rfUtilities | R package for random forests model selection | Machine Learning library

by jeffreyevans R Version: Current License: GPL-3.0

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

kandi X-RAY | rfUtilities Summary

rfUtilities is a R library typically used in Artificial Intelligence, Machine Learning applications. rfUtilities has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Random Forests Model Selection, inference, fit and performance evaluation. rfUtilities 2.2-0 (GitHub development release).

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Support

rfUtilities has a low active ecosystem.

It has 6 star(s) with 7 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 3 have been closed. On average issues are closed in 24 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of rfUtilities is current.

Quality

rfUtilities has 0 bugs and 0 code smells.

Security

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

rfUtilities code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rfUtilities 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

rfUtilities 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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rfUtilities Key Features

No Key Features are available at this moment for rfUtilities.

rfUtilities Examples and Code Snippets

No Code Snippets are available at this moment for rfUtilities.

Community Discussions

Trending Discussions on rfUtilities

Extract plotting data from Partial Dependence plot built from random forest

QUESTION

Extract plotting data from Partial Dependence plot built from random forest

Asked 2019-Feb-06 at 16:36

I have built a Partial Dependence plot for a predictor from my random forest. I would like to extract the data (particularly the confidence intervals and predicted values) used to build the plot and rebuild it in ggplot. How do I access the data used to make the plot and confidence intervals?

Heres some code similar to mine with a package provided data set.

...

ANSWER

Answered 2019-Feb-06 at 16:33

This is the solution I found after looking at packages source code. It is a modification of the function used to make the plot.

Source https://stackoverflow.com/questions/54521395

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

Vulnerabilities

No vulnerabilities reported

Install rfUtilities

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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