arulesCBA | Classification Based on Association Rules in R | Rule Engine library

by ianjjohnson R Version: arulesCBA_1.2.0 License: No License

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | arulesCBA Summary

arulesCBA is a R library typically used in Server, Rule Engine applications. arulesCBA has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Classification Based on Association Rules in R

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Quality

Security

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Support

arulesCBA has a low active ecosystem.

It has 34 star(s) with 9 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 8 have been closed. On average issues are closed in 6 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of arulesCBA is arulesCBA_1.2.0

Quality

arulesCBA has no bugs reported.

Security

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

License

arulesCBA 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

arulesCBA releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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arulesCBA Key Features

No Key Features are available at this moment for arulesCBA.

arulesCBA Examples and Code Snippets

Classification Based on Association Rules,Usage

Lines of Code : 32

License : No License

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library("arulesCBA")
data("iris")
 
# learn a classifier
classifier <- CBA(Species ~ ., data = iris)
classifier

    CBA Classifier Object
    Class: Species=setosa, Species=versicolor, Species=virginica
    Default Class: Species=versicolor
    N

Classification Based on Association Rules,Installation

Lines of Code : 3

License : No License

Copy

install.packages("arulesCBA")

library("devtools")
install_github("ianjjohnson/arulesCBA")

Community Discussions

Trending Discussions on arulesCBA

"Class variable needs to be a factor" error for csv-read datasets

QUESTION

"Class variable needs to be a factor" error for csv-read datasets

Asked 2020-Apr-01 at 11:41

I am looking to discretise continuous features in machine-learning datasets, in particular, using supervised discretisation. It turns out that r [has a package/method for this]1, great! But since I am not proficient in R I have some issues and I would greatly appreciate if you could help.

I get an error

class variable needs to be a factor.

I looked at an example online, and they do not seem to have this problem, but I do. Note that I do not quite understand the syntax V2 ~ ., other than that V2 should be a column name.

...

ANSWER

Answered 2020-Apr-01 at 09:26

As written in the vignette, this is meant to implement:

several supervised methods to convert continuous variables into a categorical variables (factor) suitable for association rule mining and building associative classifiers.

If you look at your V2 column, it's continuous:

Source https://stackoverflow.com/questions/60965497

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

Vulnerabilities

No vulnerabilities reported

Install arulesCBA

Stable CRAN version: install from within R with.

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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