randomForestExplainer | happening inside a Random Forest | Data Visualization library

 by   ModelOriented R Version: v0.10.1 License: No License

kandi X-RAY | randomForestExplainer Summary

kandi X-RAY | randomForestExplainer Summary

randomForestExplainer is a R library typically used in Analytics, Data Visualization applications. randomForestExplainer has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A set of tools to understand what is happening inside a Random Forest. A detailed discussion of the package and importance measures it implements can be found here: Master thesis on randomForestExplainer.
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              randomForestExplainer has a low active ecosystem.
              It has 177 star(s) with 30 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 10 have been closed. On average issues are closed in 162 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of randomForestExplainer is v0.10.1

            kandi-Quality Quality

              randomForestExplainer has 0 bugs and 0 code smells.

            kandi-Security Security

              randomForestExplainer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              randomForestExplainer code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              randomForestExplainer does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              randomForestExplainer releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              It has 13540 lines of code, 0 functions and 27 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            randomForestExplainer Key Features

            No Key Features are available at this moment for randomForestExplainer.

            randomForestExplainer Examples and Code Snippets

            No Code Snippets are available at this moment for randomForestExplainer.

            Community Discussions

            Trending Discussions on randomForestExplainer

            QUESTION

            Random Forest in R - Applying to testing/validation set
            Asked 2020-Apr-14 at 19:49

            I am a beginner to using Random Forest. I am trying to train a random forest model then apply it to a testing dataset but am having problems getting two datasets that are the same length. I have trained a good model but need to see how it performs on my test data. Please see my code below. Any tips would be appreciated.

            ...

            ANSWER

            Answered 2020-Apr-14 at 19:49

            Use newdata = within predict function for both training and testing data like

            Source https://stackoverflow.com/questions/61211933

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

            Vulnerabilities

            No vulnerabilities reported

            Install randomForestExplainer

            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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            https://github.com/ModelOriented/randomForestExplainer.git

          • CLI

            gh repo clone ModelOriented/randomForestExplainer

          • sshUrl

            git@github.com:ModelOriented/randomForestExplainer.git

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